Data Engineering
HOME REGISTER 32 HOURS ONLINE ENGLISH 65 HOURS ONLINE ENGLISH HOME REGISTER In this Data Engineering course, you will learn how to work with batch and real-time analytics solutions using the technology provided by the Azure data platform. The journey begins with understanding the core computing and storage technologies essential in building analytical solutions. You will discover how to explore data stored in data lakes interactively, using files as your guide. From there, we will cover the various techniques available for data ingestion using prominent tools such as Apache Spark in Azure Synapse Analytics or Azure Databricks, as well as Azure Data Factory or Azure Synapse pipelines. Not only will you learn how to bring data into your analytics systems, but you will also explore different methods to transform this data using the same ingestion tools. As we go further, we emphasize the critical role of security in protecting data whether it’s stored or being transferred. Towards the end, you will learn to create real-time analytics systems, opening doors to crafting solutions that work with data as it comes in, providing insights faster and more accurately. This course is designed to give you hands-on experience and a strong foundation in the fast-paced world of data engineering. What You’ll Learn At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure. Skills You’ll Gain Data science Azure Roles Data Engineer What You’ll Learn At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure. Skills You’ll Gain Data science Azure Role Data Engineer Course Outline Module 1: Get Started with Data Engineering on Azure Module 2: Build data analytics solutions using Azure Synapse serverless SQL pools Module 3: Perform data engineering with Azure Synapse Apache Spark Pools Module 4: Work with Data Warehouses using Azure Synapse Analytics Module 5: Transfer and transform data with Azure Synapse Analytics pipelines Module 6: Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics Module 7: Implement a Data Streaming Solution with Azure Stream Analytics Module 8: Govern data across an enterprise Module 9: Data engineering with Azure Databricks Required Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course are data analysts and data scientists who work with analytical solutions built on Microsoft Azure. Assessment One (1) diagnostic assessment is available, conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation. Credit and Recognition The learner is eligible to take the Microsoft Certified: Azure Data Engineer Associate. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Data Management is your prerequisite for entering the world of Data Engineering, where you’ll learn how to architect and manage data pipelines efficiently. Data Engineering is an essential step toward mastering Machine Learning.
Machine Learning
HOME REGISTER 19 HOURS ONLINE ENGLISH 19 HOURS ONLINE ENGLISH HOME REGISTER In this Machine Learning course, we will equip you with a strong foundation in the critical concepts and practical skills needed to work with classical machine learning models. The journey begins with understanding the core principles, supported by a healthy balance of theoretical knowledge and hands-on exercises to grasp various machine learning techniques and their practical applications. You’ll become adept at preprocessing and analyzing data, building resilient models, and evaluating their performance to make informed, data-driven decisions. Suitable for both beginners and those looking to build on their existing knowledge, this course aims to empower you with the competencies required to tackle real-world challenges effectively using classical machine learning models. What You’ll Learn At the end of this course, learners will be able to demonstrate a comprehensive understanding of the fundamental concepts, principles, and techniques of machine learning. They will also be equipped to apply their knowledge of machine learning to real-world scenarios. Furthermore, they will develop the ability to critically analyze and evaluate machine learning models, synthesize their knowledge and skills to construct and refine these models, and evaluate the effectiveness and performance of machine learning models. Skills You’ll Gain Microsoft Azure Machine learning Roles Data Scientist AI Engineer What You’ll Learn At the end of this course, learners will be able to demonstrate a comprehensive understanding of the fundamental concepts, principles, and techniques of machine learning. They will also be equipped to apply their knowledge of machine learning to real-world scenarios. Furthermore, they will develop the ability to critically analyze and evaluate machine learning models, synthesize their knowledge and skills to construct and refine these models, and evaluate the effectiveness and performance of machine learning models. Skills You’ll Gain Microsoft Azure Machine learning Role Data Scientist AI Engineer Course Outline Module 1: Introduction to Data for Machine LearningModule 2: Explore and Analyze Data with PythonModule 3: Train and Understand Regression Models in Machine LearningModule 4: Refine and Test Machine Learning ModelsModule 5: Train and Evaluate Regression ModelsModule 6: Create and Understand Classification Models in Machine LearningModule 7: Customize Architectures and Hyperparameters Using Random ForestModule 8: Confusion Matrix and Data ImbalancesModule 9: Optimize Model Performance with ROC and AUCModule 10: Train and Evaluate Classification ModelsModule 11: Train and Evaluate Clustering ModelsModule 12: Train and Evaluate Deep Learning Models Required Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Assessment In this Machine Learning course: One (1) diagnostic assessment is available, conducted synchronously, and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation. Credit and Recognition Upon successful completion of the Machine Learning course, learners will receive a Certificate of Completion. This certificate serves both as a recognition of acquired expertise in machine learning and as a foundational step toward more advanced studies in the field of Data Science. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Your journey into Machine Learning begins with either Data Engineering or Data Management. This foundational knowledge will equip you with the skills needed to explore the exciting field of Machine Learning, which, in turn, opens doors to the broader field of Data Science.
IoT – Internet of Things: Connecting Things
HOME REGISTER 20 HOURS HYBRID ENGLISH 20 HOURS HYBRID ENGLISH HOME REGISTER In the “IoT – Internet of Things: Connecting Things” course, you’ll dive deep into the fundamental concepts that drive the Internet of Things (IoT). You’ll start by exploring the core reasons behind the move to connect everything, identifying what exactly can be connected, and learning the strategies to establish this extensive connectivity. The journey will take you through the workings of a typical IoT solution which encompasses sensors, local analytic capabilities, network connections, and the skills to analyze the collected data effectively. You will learn to enhance products, processes, or businesses through detailed instrumentation and data collection, starting from an end-to-end connection from a sensor to a gateway, all the way to networks and the cloud. Moreover, the course guides you in pinpointing problems solvable by IoT and helps you design an IoT system precisely catered to solve those issues. It is a comprehensive approach to understanding and utilizing IoT in real-world scenarios. What You’ll Learn At the end of this course, learners will be able to design circuits and develop microcontroller programs using Arduino with various components. They will also be proficient in developing Python programs on the Raspberry Pi to enable IoT functionality. Additionally, learners will be adept at utilizing Packet Tracer to simulate Python-integrated IoT systems and will be equipped to construct business models using the Business Model Canvas. They will also understand the applications of IoT in sectors like healthcare, energy, smart-city, and manufacturing. Furthermore, learners will recognize the significance of designing secure IoT solutions that safeguard devices, software, and data. Skills You’ll Gain Python programming for IoT IoT system design Roles IoT Developer IoT Product Manager What You’ll Learn At the end of this course, learners will be able to design circuits and develop microcontroller programs using Arduino with various components. They will also be proficient in developing Python programs on the Raspberry Pi to enable IoT functionality. Additionally, learners will be adept at utilizing Packet Tracer to simulate Python-integrated IoT systems and will be equipped to construct business models using the Business Model Canvas. They will also understand the applications of IoT in sectors like healthcare, energy, smart-city, and manufacturing. Furthermore, learners will recognize the significance of designing secure IoT solutions that safeguard devices, software, and data. Skills You’ll Gain Python programming for IoT IoT system design Roles IoT Developer IoT Product Manage Course Outline Module 1: Things and Connections Module 2: Sensors, Actuators, and Microcontrollers Module 3: Software is Everywhere Module 4: Fog Networks and Cloud Services Module 5: Industrial IoT Applications Module 6: Create an IoT Solution Required Resources Microsoft Windows or Mac OS (Software); Prototyping Lab Application, Cisco Packet Tracer 7.1 or later (Software); Raspberry Pi 3 CanaKit Ultimate Starter Kit, Sparkfun Inventor’s Kit for Arduino – V3.2, Multicolored Jumper Wires (40-pin Male to Female, 40-pin Male-to-Male, 40-pin Female-to-Female), Breadboard Jumper Wires (Hardware). Pre-Requisites Basic Python programming skills and foundational knowledge in networking and electronics Assessment In this IoT: Big Data and Analytics course: One (1) diagnostic assessment is available, to be conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. A performance-based summative assessment is to be conducted synchronously, offering learners the option of participating remotely or on-site. Two (2) formative assessments are offered, both concentrating on performance-based skills measurement and to be conducted synchronously. Learners have the option to participate remotely or on-site. Credit and Recognition This Fundamental Course is a stackable pre-requisite for the Hackathon Playbook and IoT Security, and the certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. This course is delivered in partnership with CISCO Networking Academy. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways “IoT – Internet of Things: Connecting Things” requires prior completion of “IoT – Internet of Things: Big Data and Analytics.” This prerequisite ensures that you have the foundational knowledge needed for a smooth and successful progression in your IoT education.
Mastering GIS Basics with ArcGIS
HOME REGISTER 24 HOURS FACE-TO-FACE ENGLISH In the Mastering GIS Basics with ArcGIS course, you will come to grips with the fundamental concepts of geographic data and GIS technology. This course is crafted to take you on a journey where you’ll learn how to use GIS maps to bring real-world features to your fingertips, enabling you to visualize and explore them in depth. But it doesn’t stop there; you’ll delve into data analysis to extract valuable insights and learn how to share these maps, data, and other vital resources across your organization. The course encapsulates essential workflows, tools, and techniques pivotal in GIS, offering you hands-on experience through practical exercises. By the end of this immersive learning experience, you will have honed the skills needed to navigate and utilize GIS technology effectively, ready to apply them in real-world scenarios. What You’ll Learn At the end of this course, learners will be able to manage spatial information by creating, updating, and organizing data using Geographic Information System (GIS) software. They will also be skilled in displaying features on a GIS map accurately and accessing its information efficiently. Additionally, learners will be adept at employing standard workflows to analyze GIS data and address spatial challenges. Furthermore, they will be equipped to design GIS map layouts and web maps to visualize data and disseminate analysis results. Skills You’ll Gain Creating GIS based maps GIS data management Roles GIS Technician Basic GIS User Course Outline Module 1: The Basics of GIS Module 2: Understanding Geographic Data Module 3: Visualizing Data Module 4: Labeling Features Module 5: Working with Tabular Data Module 6: Creating and Editing Data Module 7: Evaluating Data for Analysis Module 8: Solving Spatial Problems Module 9: Designing Map Layouts Module 10: Sharing Geographic Information Required Resources i-series or equivalent processor, 8GB RAM, 1GB video card, 500GB available hard disk, 15” monitor or dual display (Hardware); Windows 10 or higher (Software); Internet connection of speed 5 Mbps or faster (Network) Pre-Requisites At least a High School or Senior High School Graduate Assessment Practical Assessment: Hands-on activities are prepared for this course to assess the attainment of learning outcomes Final Assessment: This exam measures your ability to create, modify, and manage a structural project using Revit Structures Credit and Recognition This Basic GIS course is offered in collaboration with Geodata Systems Technologies, Inc., the exclusive Esri distributor in the Philippines, and is affiliated with certifying entities such as Logotri-Philnet of the Local Government Academy, the Civil Service Commission, and the Philippine Society for Training and Development (PSTD). It is stackable and serves as a prerequisite for the Advanced GIS Micro-credential Program. This course is in developed and delivered in collaboration with Geodata Systems Technologies, Inc. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways This course is the foundational cornerstone of your journey into the world of Geographic Information Systems (GIS). It equips you with the essential skills and knowledge required to grasp the basics of GIS, setting the stage for your exploration of more advanced GIS concepts and applications.
Cybersecurity: Cyber Threat Management
HOME REGISTER 32 HOURS HYBRID ENGLISH 32 HOURS HYBRID ENGLISH HOME REGISTER In the “Cybersecurity: Cyber Threat Management” course, you will dive into the fundamental concepts essential in the field of cybersecurity. We kick things off with ethics and governance before moving onto practical skills such as network security testing and endpoint vulnerability assessment. Throughout the course, we maintain a strong focus on critical aspects like threat intelligence and risk management, equipping you with the knowledge to respond effectively post-incident. Our goal is to prepare you to effectively engage in threat management and incident response activities, becoming a valuable member of a cybersecurity operations team. By the end of the course, you’ll have the skills and confidence to play a pivotal role in managing cyber threats, standing on the front lines of defense in the ever-vital field of cybersecurity. What You’ll Learn At the end of this course, learners will be able to use commands to gather network information and diagnose connectivity issues. They will also be proficient in explaining how endpoint vulnerabilities are assessed and managed. Furthermore, learners will be adept at evaluating security controls based on organization characteristics, and they will be equipped to apply various standards in incident handling procedures to a given incident scenario. Skills You’ll Gain Detecting intrusions Threat monitoring and analysis Roles IoT Developer IoT Project Manager What You’ll Learn At the end of this course, learners will be able to use commands to gather network information and diagnose connectivity issues. They will also be proficient in explaining how endpoint vulnerabilities are assessed and managed. Furthermore, learners will be adept at evaluating security controls based on organization characteristics, and they will be equipped to apply various standards in incident handling procedures to a given incident scenario. Skills You’ll Gain Detecting intrusions Threat monitoring and analysis Roles Cyber Security Analyst Course Outline Module 1: Governance and ComplianceModule 2: Security AssessmentsModule 3: Threat IntelligenceModule 4: Endpoint Vulnerability AssessmentModule 5: Risk Management and Security ControlsModule 6: Digital Forensics and Incident Analysis and Response Required Resources Computer, 2GB RAM or higher, 8GB free disk space (Hardware); Oracle VirtualBox, Virtual Machine Image File (Software); High-speed Internet Connection (Network) Pre-Requisites PC and internet navigation skills, basic Windows and Linux system concepts, and a basic understanding of computer network protocols, services, processes, and configurations; completed course Cybersecurity: Network Defense Assessment In this Cybersecurity: Cyber Threat Management course: One (1) diagnostic assessment is available, to be conducted asynchronously and will be knowledge-based, allowing learners to proceed at their own pace. It offers the flexibility for remote or on-site participation. Two (2) formative assessments are offered, one concentrating on knowledge and the other on performance-based skills measurement. Both formative assessments are to be conducted synchronously, giving learners the choice of participating remotely or on-site. A performance-based summative assessment is to be conducted synchronously, offering learners the option of remote or on-site participation. Credit and Recognition The certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. The course is delivered in partnership with CISCO Networking Academy and aligns with CISCO-Certified Support Technician (CCST) Cybersecurity certification. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Cybersecurity: Network Defense is a prerequisite for Cybersecurity: Cyber Threat Management. Upon successfully completing this course, you will have successfully completed the Junior Cybersecurity Analyst Pathway, equipping you with the skills and knowledge needed for a career in cybersecurity.
Data Analytics
HOME REGISTER 26 HOURS ONLINE ENGLISH 42 HOURS ONLINE ENGLISH HOME REGISTER In this Data Analytics course, you’ll dive deep into learning the best strategies and techniques for working with data using Power BI, a powerful tool that meets both business and technical needs. You’ll learn how to handle data from a range of sources, both relational and non-relational, and how to visualize and analyze that data to make informed decisions. We’ll also cover the essential skills needed to manage, deploy, and share reports and dashboards, promoting effective collaboration among teams. Whether you’re working with a business or on a technical project, this course equips you with the knowledge to leverage Power BI in optimizing data analysis and reporting processes. What You’ll Learn At the end of this course, learners will be able to prepare and organize data for analysis. They will also be equipped to develop analytical skills, encompassing data cleaning, analysis, and visualization, using Power BI. Furthermore, learners will be proficient in creating and managing workspaces and datasets in Power BI. Skills You’ll Gain Data analysis Azure Power BI Roles Data Analyst What You’ll Learn At the end of this course, learners will be able to prepare and organize data for analysis. They will also be equipped to develop analytical skills, encompassing data cleaning, analysis, and visualization, using Power BI. Furthermore, learners will be proficient in creating and managing workspaces and datasets in Power BI. Skills You’ll Gain Data analysis Azure Power BI Role Data Analyst Course Outline Module 1: Microsoft Data Analytics Module 2: Prepare Data for Analysis Module 3: Model Data in Power BI Module 4: Visualize Data in Power BI Module 5: Data Analysis in Power BI Module 6: Manage Workspaces and Datasets in Power BI Reqired Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Power BI (Software); Adequate Internet Connection (Network) Pre-Requisites The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises. Assessment In this Data Analytics course: One (1) diagnostic assessment is available, conducted synchronously, and focuses on knowledge-based testing. Learners have the flexibility to choose between remote or on-site participation. Two (2) formative assessments are offered, one concentrating on knowledge and the other on performance-based skills measurement. Both formative assessments are available asynchronously, allowing learners to complete them at their own pace, with the option of remote or on-site participation. A summative assessment in Data Analytics is centered on performance-based skills evaluation. This summative assessment is to be conducted synchronously, giving learners the choice of participating remotely or on-site. Credit and Recognition The learner is eligible to take the Microsoft Certified: Power BI Data Analyst Associate. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Data Analytics Path: Data Management serves as your starting point on the path to becoming a skilled Data Analyst. This path ultimately leads to a broader understanding of data through Data Science.
Engineering
Home / Page Engineering The College of Engineering at Batangas State University, The National Engineering University (BatStateU The NEU), is a top engineering school in the Philippines, celebrated for producing globally competitive graduates and topnotchers. The college is a leader in engineering education, with a strong focus on innovation, sustainability, and nation-building, and it integrates technopreneurship into its curricula to equip students with 21st-century skills. Its Electronics Engineering program is a CHED-designated Center of Excellence, while its Electrical and Mechanical Engineering programs are recognized as Centers of Development. Furthermore, BatStateU is the first state university in the country to have multiple engineering programs, including Chemical, Civil, Computer, Electrical, Electronics, Industrial, Mechanical, and Sanitary Engineering, accredited by the US-based ABET, under both the Engineering Accreditation Commission (EAC) and the Philippine Technological Council’s ACBET. Programs Offered Undergraduate Programs Bachelor of Science in Chemical Engineering (BSChE) Bachelor of Science in Food Engineering (BSFE) Bachelor of Science in Ceramics Engineering (BSCerE) Bachelor of Science in Metallurgical Engineering (BSMetE) Bachelor of Science in Civil Engineering (BSCE) (with specializations in Construction Engineering Management, Geotechnical Engineering, Structural Engineering, Transportation Engineering, and Water Resources Engineering) Bachelor of Science in Sanitary Engineering (BSSE) Bachelor of Science in Geodetic Engineering (BSGE) Bachelor of Science in Geological Engineering (BSGeoE) Bachelor of Science in Transportation Systems Engineering (BSTE) Bachelor of Science in Electrical Engineering (BSEE) (with specializations in Machine Automation and Process Control and Renewable Energy for Sustainable Development) Bachelor of Science in Computer Engineering (BSCpE) Bachelor of Science in Electronics Engineering (BSECE) (with specializations in Computer Communication, Microelectronics, and Telecommunications and Building Infrastructures) Bachelor of Science in Instrumentation and Control Engineering (BSICE) Bachelor of Science in Mechatronics Engineering (BSMexE) Bachelor of Science in Aerospace Engineering (BSAeE) Bachelor of Science in Biomedical Engineering (BSBioE) Bachelor of Science in Industrial Engineering (BSIE) Bachelor of Science in Mechanical Engineering (BSME) Bachelor of Science in Petroleum Engineering (BSPetE) Bachelor of Science in Automotive Engineering (BSAE) Bachelor of Science in Naval Architecture and Marine Engineering (BSNAME) Graduate Programs Doctor of Philosophy in Electronics Engineering (PhDECE) Doctor of Philosophy in Engineering Education (PhDEEd) Doctor of Philosophy in Engineering Management (PhDEM) Master of Science in Artificial Intelligence (MSAI) Master of Science in Advanced Manufacturing (MSAM) Master of Science in Computer Engineering (M.S.CpE) Master of Science in Construction Management (MSCM) Master of Science in Earthquake Engineering (MSEaE) Master of Science in Electronics Engineering (M.S.ECE) Master of Science in Engineering Management (MSEM) Master of Science in Energy Engineering (MSEgyE) Master of Science in Material Science and Engineering (MSMSE) Master of Science in Transportation Systems Engineering (MSTE) Master of Engineering in Civil Engineering (M.Engg.CE) Master of Engineering in Chemical Engineering (M.Engg.ChE) Master of Engineering in Computer Engineering (M.Engg.CpE) Master of Engineering in Electrical Engineering (M.Engg.EE) Master of Engineering in Electronics Engineering (M.Engg.ECE) Master of Engineering in Environmental Engineering (M.Engg.EnE) Master of Engineering in Industrial Engineering (M.Engg.IE) Master of Engineering in Mechanical Engineering (M.Engg.ME) Straight Master’s to Doctorate in Electronics Engineering (SMD-ECE) Straight Bachelors to Masters in Electronics Engineering (SBM-ECE) BatStateU-Alangilan
College of Informatics and Computing Sciences
Alangilan Administration Students Faculty Research Extension Linkages Facilities Home / Page College of Informatics and Computing Sciences The College of Informatics and Computing Sciences traces its origins back to 1990 when it was established as a department under the College of Arts and Sciences, led by Dr. Gloria Mendoza. Initially, the department offered a two-year Associate in Computer Science program, enrolling 24 students with four instructors. Of these, 12 graduated in 1992 and continued to pursue the Bachelor of Science in Computer Science, with the first batch graduating in 1994. Simultaneously, the College of Engineering, under the leadership of Engr. Jessie Montalbo began offering the Bachelor of Science in Computer Engineering program, with its first cohort of 30 students graduating in 1995. CICS Goal College of Informatics and Computing Sciences aims to shape globally competitive computer magnates as they develop their professional identities and ethical values. It establishes equanimity, objectivity and wisdom, unselfishness and concern for the environment through their technological competencies, community partnerships and strong faith in the Supreme Being. It promotes excellence in the pedagogy as it develops a well-rounded graduate who can assume dynamic leadership, meaningful participation and internalization initiatives in the field of Information Technology and Computing Sciences. Provide curricular programs for the development of a well-trained IT professionals, and Computer scientists. Advance ideals of national identity devoid of cultural biases, but enriched with moral integrity, spiritual vigor, and credible pursuit for professional excellence; Develop professional graduates ready for entry as active participants and/or competent leaders in the industrialized world who are: Well-educated in the principles of a particular discipline; Well-trained in the art and science of computer applications such as: productivity tools, authoring software and software development applications. Well-oriented in advocating national consciousness on the promotion of our history, culture and traditions. The College of Informatics and Computing Science shall: Inculcate the students the tent of ethical values that show traits of humility and compassion required of a well-rounded magnate fully equipped with critical thinking and sound moral judgment; Produce competitive graduates exercising academic freedom for life-long learning which is productive and value laden. Supply professional expertise in the application of a particular field suited to the needs of the nation in general, and the community and region in particular; Provide necessary solutions to the IT/CS problems related to the new ideas or existing ones like product development, service enhancement and environmental conservation and protection; Train students as leaders who would be specialists in the various fields of computer and information technology and inclined to provide the highest standards of research, extension service and production. Teach and encourage students to apply every principle to the notion of entrepreneurship that would promote the development of products, services and viable technology to tap the existing and unrealized potentials of the resources of the community, region and country. Program Educational Objectives The alumni of Bachelor of Science in Computer Science and Bachelor of Science in Information Technology programs, about three to five years after graduation shall: Help create innovations to ensure the competitive edge of the Philippine computing industry. Adhere to ethical standards in the practice of the computing profession. Student Outcomes Bachelor of Science in Computer Science Ability to analyze complex computingproblems and to apply principles ofcomputing and other relevant disciplines toidentify solutions. Ability to design, implement, and evaluate computing-based solutions to meet a given set of computing requirements in the context of the program’s discipline. Ability to communicate effectively in a variety of professional contexts. Ability to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles. Ability to function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline. Ability to apply computer science theory and software development fundamentals to produce computing-based solutions. Bachelor of Science in Information Technology Ability to analyze complex computing problems and to apply principles of computing and other relevant disciplines to identify solutions. Ability to design, implement, and evaluate computing-based solutions to meet a given set of computing requirements in the context of the program’s discipline. Ability to communicate effectively in a variety of professional contexts. Ability to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles. Ability to function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline. Use systemic approaches to select, develop, apply, integrate, and administer secure computing technologies to accomplish user goals. College History College Figures Accreditation Curriculum In 1997, the College of Computer Studies was formally established, with Engr. Jessie Montalbo is serving as its first dean. The newly formed college incorporated the BS Computer Science program from the College of Arts and Sciences and the BS Computer Engineering program from the College of Engineering. That same year, the college launched the BS Information Management program, followed by BS Information Technology in 1998, and BS Computer Education in 1999. The most recent addition to the college’s offerings is the BS in Library Information Management, introduced in the current academic year. With the expanding list of programs came a corresponding growth in student enrollment, faculty members, and the development of modern laboratories, student services offices, and research and development facilities. In 2000, the university established the IT Center to manage its IT applications, as well as the Informatics and Computing Sciences Center, which oversees the college’s research and extension services. Engr. Rolando M. Lontok Jr., the current Associate Dean of the College, was appointed to supervise both centers. That same year, the college began providing internet access for its students and faculty. In recognition of the increasing importance of information and communication technologies, the College of Computer Studies was renamed the School of Informatics and Computing Sciences in mid-2000. In 2007, the school was merged with the College of Engineering, Architecture, and Fine Arts to form the College of Engineering, Architecture, Fine Arts, and Computing Sciences (CEAFACS). Informatics and Computing Sciences became one of the departments
College of Engineering Technology
Alangilan Administration Students Faculty Research Extension Linkages Facilities Home / Page College of Engineering Technology The College of Engineering Technology is the first college established in the university, and has since proven to be a premier producer of well-rounded and globally competitive professionals who meet local, national, and international demands for skilled workers who significantly contribute to the manpower resources in response to the rapid industrialization of the modern world. CET Goal The College of Engineering Technology shall produce well-rounded and globally competitive individuals who meet local, national, and international demands for skilled workers. CET Objectives To devise up-to-date curricula that help attain goals, meet changing requirements, and reflect changes in Engineering Technology. To facilitate quality technical-vocational education and training towards the holistic competency and proficiency of individuals in the different technology areas. To mold individuals whose personal, social, technical, and practical qualities make them productive and valuable citizens of a global village. To train technologists in the use of applied research by innovating ways to address needs and problems and by implementing and extending current technology. College History College Figures Accreditation Curriculum A Legacy of Innovation: The Story of BatStateU – College of Engineering Technology More than a century ago, in 1903, Batangas State University began its journey as a Manual Training School with a focused mission: to provide young men with practical skills for gainful employment, particularly in the field of woodworking. Under the leadership of its first American principal, Mr. Sheer, the school laid the foundation for what would become a transformative force in technical and vocational education in the region. The school’s operations were interrupted by World War II, but its spirit endured. In 1945, it reopened, driven by a renewed commitment to education. Two years later, in 1947, vocational courses for girls were introduced, reflecting the school’s evolving inclusivity and expanding role in society. By 1953, the institution was renamed the Pablo Borbon Memorial Trade School in honor of Don Pablo Borbon, a distinguished Batangueño leader. Its growing contribution to industrial manpower in the province led to its elevation as the Pablo Borbon Memorial Regional School of Arts and Trades through Republic Act 4760. In 1963, the school began offering opportunity classes for unemployed and out-of-school youth in trades such as Automotive, Machine Shop Practice, Electricity, Radio Mechanics, Cosmetology, and Dressmaking—programs that directly empowered individuals and addressed community needs. Progress did not stop there. In 1978, under the guidance of Dr. Mariano O. Albayalde, then Dean of Instruction, the school launched a three-year Industrial Technician Education curriculum patterned after the Manila Technician Institute. This would later evolve into the Diploma of Technology, aligning with the Technical-Vocational Education Project of the Department of Education, Culture and Sports (DECS). These changes marked the institution’s shift toward a more formalized and comprehensive technical education pathway. A significant milestone was reached in 1983 when the school acquired a three-hectare site in Brgy. Alangilan, Batangas City, spearheaded by then-college president Mr. Isabelo Evangelio. This new campus would soon become the heart of its engineering and technology programs, beginning with the construction of the College for Industrial Technology (CIT) building. As the nation advanced into the era of modernization, so too did the institution. In the late 1990s, a range of advanced engineering technology programs was introduced, including Civil, Computer, Drafting, and Electronics Engineering Technology, as well as specialized fields such as Instrumentation and Control, Mechatronics, Petroleum, and Shipbuilding and Offshore Engineering Technology. Recognizing its academic evolution and broader scope, the institution underwent a formal change in academic identity. From its roots as a Manual Training School, it evolved into the College of Industrial Technology. By virtue of Board of Regents (BOR) Resolution No. 160, Series of 2023, it was subsequently renamed the College of Engineering Technology (CET), a name that better reflects its expanded vision and specialized focus. This transformation was accompanied by the shift from a singular Bachelor of Industrial Technology degree with 11 majors into 11 distinct Bachelor of Engineering Technology (BET) programs, namely Automotive Engineering Technology, Civil Engineering Technology, Computer Engineering Technology, Drafting Engineering Technology, Food Engineering Technology, Instrumentation and Control Engineering Technology, Electrical Engineering Technology, Electronics Engineering Technology, Mechanical Engineering Technology, Mechatronics Engineering Technology, and Welding and Fabrication Engineering Technology – each recognized as independent disciplines. This transition was solidified through BOR Resolution No. 158, Series of 2023, while the approval of these programs was affirmed through BOR Resolution No. 159, Series of 2023. All three resolutions were officially passed on December 19, 2023, marking a defining moment in the College’s history. At present, CET remains at the forefront of higher technical education, committed to excellence and innovation. It continues to enrich the knowledge and skills of its students through advanced facilities, industry partnerships, and initiatives such as the Dual Training System (DTS)—ensuring that its graduates are prepared not just for employment but for leadership in the dynamic world of engineering and technology. From its humble beginnings to its current status as a regional leader in engineering and technology education, the College has remained true to its mission: to shape competent, ethical, and globally competitive professionals equipped to meet the demands of the 21st century and beyond. Master of Technology Name of Accrediting Agency Title of Accreditation Validity Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 127, S. 2024 CEB RESO NO. 599-2024 Effective AY 2024–2025 Accrediting Agency of Chartered Colleges and Universities in the Philippines (AACCUP) Level II Re-accredited Dec. 1, 2021 – Nov. 30, 2025 Doctor of Technology Name of Accrediting Agency Title of Accreditation Validity Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 126, S. 2024 CEB RESO NO. 599-2024 Effective AY 2024–2025 Accrediting Agency of Chartered Colleges and Universities in the Philippines (AACCUP) Level II Re-accredited Dec. 1, 2021 – Nov. 30, 2025 Undergraduate Programs Name of Accrediting Agency Title of Accreditation Validity Accrediting Agency of Chartered Colleges and Universities in the Philippines (AACCUP) Level IV Re-accredited June 16, 2024
College of Engineering
Alangilan Administration Students Faculty Research Extension Linkages Facilities Home / Page College of Engineering The College of Engineering at Batangas State University, The National Engineering University (BatStateU The NEU), is a recognized leader in engineering education, known for producing topnotchers and globally competitive graduates. With a strong foundation in innovation, sustainability, and nation-building, the college fully implements outcomes-based education and integrates technopreneurship into its curricula to equip students with 21st-century skills. Several programs hold prestigious designations from the Commission on Higher Education (CHED), with Electronics Engineering named a Center of Excellence, and Electrical and Mechanical Engineering recognized as Centers of Development. The College of Engineering at Batangas State University, The National Engineering University (BatStateU The NEU), is a recognized leader in engineering education, known for producing topnotchers and globally competitive graduates. With a strong foundation in innovation, sustainability, and nation-building, the college fully implements outcomes-based education and integrates technopreneurship into its curricula to equip students with 21st-century skills. Several programs hold prestigious designations from the Commission on Higher Education (CHED), with Electronics Engineering named a Center of Excellence, and Electrical and Mechanical Engineering recognized as Centers of Development. Notably, BatStateU is the first state university in the country with ABET-accredited programs in BS Chemical, Civil, Computer, Electrical, Electronics, Industrial, Mechanical, and Sanitary Engineering—accredited by the Engineering Accreditation Commission (EAC) of US-based ABET, under both the General and Program Criteria, and by the Philippine Technological Council’s ACBET. CoE Goal To produce globally competitive, innovative, and socially responsible engineers committed to excellence, sustainability, and national development. CoE Objectives Deliver Quality Education: Provide outcomes-based and industry-aligned engineering programs that develop technical expertise, critical thinking, and problem-solving skills. Foster Innovation and Research: Encourage research, development, and innovation that address real-world challenges and contribute to technological advancement. Promote Ethical and Responsible Practice: Instill values of professionalism, integrity, and social responsibility in all engineering disciplines. Support Lifelong Learning and Leadership: Develop future leaders through continuous learning, leadership training, and community engagement. Strengthen Industry and Global Linkages: Build strong partnerships with industry, government, and academic institutions to enhance learning, employment, and research opportunities. College History College Figures Accreditation Curriculum Blueprint of Excellence: The College of Engineering Through the Years As the country’s National Engineering University, the College of Engineering at Batangas State University stands as a testament to the Philippines’ pursuit of excellence in innovation, with a rich history marked by continuous growth and transformative development. The college traces its roots back to 1985, when it was established as the Engineering Department, laying the foundation for engineering education at the university. In 1992, it was renamed simply as Engineering, signifying its emergence as a distinct academic unit. By 1997, with the introduction of architecture programs, the college expanded and became the College of Engineering and Architecture (CEA). In 2000, the institution broadened its academic portfolio to include fine arts, adopting the name College of Engineering, Architecture and Fine Arts (CEAFA). This growth continued in 2006 with the inclusion of computing sciences, prompting another renaming as the College of Engineering, Architecture, Fine Arts, and Computing Sciences (CEAFACS). However, in 2013, the college returned to the title College of Engineering, Architecture and Fine Arts (CEAFA), reflecting a refined focus on its core disciplines. Most recently, in 2022—following Batangas State University’s designation as the Philippines’ National Engineering University—the college embraced a streamlined identity as the College of Engineering (COE), reinforcing its leadership role in shaping the future of engineering education in the country. This dynamic evolution underscores the college’s adaptability, resilience, and steadfast commitment to addressing the ever-changing educational needs of its students and the broader community. Doctorate Programs Name of Accrediting Agency Title of Accreditation Validity Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 009, S. 2019 Effective AY 2019–2020 AACCUP Candidate for Level I September 16, 2024 – September 15, 2025 Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 249, S. 2023 CEB RESO NO. 738 – 2023 Effective AY 2023–2024 Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 147, S. 2024 CEB RESO NO. 718 – 2023 Effective AY 2023–2024 Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 095, S. 2023 CEB RESO NO. 294 – 2023 Effective AY 2022–2023 Master’s Programs Name of Accrediting Agency Title of Accreditation Validity Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 37, S. 2021 Effective AY 2020–2021 AACCUP Level III Re-accredited March 16, 2025 – March 15, 2029 Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 010, S. 2019 Effective AY 2019–2020 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Commission on Higher Education (CHED) CHED Certificate of Program Compliance (COPC) COPC No. 041, S. 2025 Effective AY 2024–2025 Master of Engineering – Major in Electronics Engineering CHED COPC No. 011, S. 2019 Effective AY 2019–2020 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Electrical Engineering CHED COPC No. 012, S. 2019 Effective AY 2019–2020 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Computer Engineering CHED COPC No. 042, S. 2020 Effective AY 2020–2021 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Chemical Engineering CHED COPC No. 001, S. 2020 Effective AY 2020–2021 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Civil Engineering CHED COPC No. 271, S. 2022 Effective AY 2022–2023 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Industrial Engineering CHED COPC No. 097, S. 2023 Effective AY 2022–2023 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025 Master of Engineering – Major in Mechanical Engineering CHED COPC No. 272, S. 2022 Effective AY 2022–2023 AACCUP Level II Re-accredited October 1, 2024 – September 30, 2025
