Technological Institute of the Philippines

Graduate Programs - Manila Campus

Doctor of Philosophy in Computer Science
Doctor in Information Technology
Master in Information Technology
Master of Science in Computer Science
Master in Information Systems
Master of Engineering with specialization in Computer Engineering
Master of Engineering with specialization in Electrical Engineering
Master of Engineering with specialization in Chemical Engineering
Master of Engineering with specialization in Mechanical Engineering
Professional Science Master’s (PSM) Degree in Data Science

Doctor of Philosophy in Computer Science

The Doctor of Philosophy in Computer Science is a research-oriented program which focuses on several areas in Computer Science coupled with rigorous breadth and depth of knowledge. The program is completed primarily through a supervised research that contributes to new knowledge, theory and technology. The program aims to produce computer scientist who are armed with methods, tools and techniques from both theoretical and system aspects of computing, and who can independently formulate computing problems and develop new and innovative technology that forms a novel contribution for the advancement of the discipline and solutions to issues.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (24 Units)
PHDCS 101 Special Topics in Computer Science Theory: Data Mining and Pattern Recognition 3 0 3
PHDCS 102 Special Topics in Computer Science Theory: Modeling and Simulation 3 0 3
PHDCS 103 Special Topics in Computer Science Theory: Image Processing 3 0 3
PHDCS 104 Special Topics in Computer Science Theory: Intelligent System 3 0 3
PHDCS 105 Special Topics in Computer Science Theory: Affective Computing 3 0 3
PHDCS 106 Formal Languages, Automata Theory, and Computations 3 0 3
PHDCS 107 Advanced Theory of Computation 3 0 3
DOES 1F3 Distributed Systems 3 0 3
PHDCS 109 Compiler Construction 3 0 3
PHDCS 110 Natural Language and Speech Processing 3 0 3
DOES 1G3 Information Theory 3 0 3
PHDCS 112 Advanced Computer Graphics 3 0 3
DOES 1B3 Neural Networks 3 0 3
PHDCS 114 Evolutionary Computing 3 0 3
PHDCS 115 Intellectual Property Issues Regarding Patents and Researches in Computing 3 0 3
PHDCS 116 Seminars and Special Topics in the Latest Trends and Development in Computing 3 0 3
PHDCS 117 Advanced Design and Analysis of Algorithms 3 0 3
DOES 193 Artificial Intelligence 3 0 3
DITCC 107 Scientific Writing and Communication 3 0 3
DITCC 108 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
DISSERTATION (12 Units)
DISWR 201 Dissertation 1 3 0 3
DISWR 202 Dissertation 2 3 0 3
DISWR 203 Dissertation 3 3 0 3
DISWR 204 Dissertation 4 3 0 3

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Doctor in Information Technology

The Doctor in Information Technology curriculum of T.I.P. aims to develop the needs of professionals who occupy or shall occupy positions of influence in the Information Technology community to perform fundamental and high-level research professional significance.

The program requires thirty (30) units of coursework, which can be completed in three (3) years, on a semester basis, by a full-time student. The curriculum includes eighteen (18) units of specialization coursework, and twelve (12) units of dissertation. During the first year, students are expected to finish eighteen (18) units of specialization courses including Industry Immersion. These courses are expected to prepare the students to engage in research undertakings related to the student’s choice of area of specialization. The last two (2) years of the program are dedicated to dissertation writing. The dissertation courses shall require presentation and publication in at least one (1) local refereed conference and journal, and one (1) international refereed conference and journal.

Prospective students are information technology professionals, academicians, and industry management level IT practitioners who have likewise completed a master’s degree in IT or any allied master’s degree program, with a substantial research component as demonstrated by a presentation of the research output in the national or international conference. Degrees under education and arts are strictly not considered relevant.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (24 Units)
DITCC 101 Advanced Data Mining and Warehousing 3 0 3
DITCC 102 Advanced IT Project Management Processes 3 0 3
DITCC 103 Advanced Systems Analysis and Database Design 3 0 3
DITCC 104 IT Protection and Security 3 0 3
DITCC 105 IT Audit with Ethical and Legal Issues in the Wired World 3 0 3
DOES 193 Artificial Intelligence 3 0 3
DOES 1B3 Neural Networks 3 0 3
DOES 1C3 Bioinformatics 3 0 3
DOES 1F3 Distributed Systems 3 0 3
DOES 1G3 Information Theory 3 0 3
DITCC 106 Industry Immersion 3 0 3
DITCC 107 Scientific Writing and Communication 3 0 3
DITCC 108 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
DISSERTATION (12 Units)
DISWR 201 Dissertation 1 3 0 3
DISWR 202 Dissertation 2 3 0 3
DISWR 203 Dissertation 3 3 0 3
DISWR 204 Dissertation 4 3 0 3

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Master in Information Technology

Master in Information Technology allows students to apply IT Theories and principles that address real world business opportunities and challenges. Under the guidance of competent practitioner faculty, the students are given sufficient grounding in theory and practice. The course has been designed to make graduates effective professionals. Areas of expertise are systems integration, systems administration, systems planning, systems implementation, and other activities that maintain the integrity and proper functionality of a system and its components.

The curriculum is integrally designed to produce graduates who shall be prepared to excel in positions that involve providing IT solutions. These roles include those of project manager, systems architect, information architect, process analyst, and technology architect. Graduates shall be ready to function in Information Technology positions with the competency, skills, and attitudes necessary for success in the workplace. The curriculum provides students the opportunity for continued career growth and life-long learning as IT professionals.

The students entering this degree program should have had undergraduate or industry preparation that would have exposed them to programming concepts and skills as well as the operating environment of a network system.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 023 Discrete Mathematics 3 0 (3)
MITRC 032L1 Computer Organization and Systems Programming 2 3 (3)
MITRC 043 Introduction to Operating Systems 3 0 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MITBC 113 Advanced Data Structure and Algorithm Analysis 3 0 3
MITBC 123 Data Warehousing and Data Mining 3 0 3
MITBC 153 Methods of Research with Statistics 3 0 3
MITMC 263 Software Systems Analysis and Database Design 3 0 3
MITMC 273 IT Project Management 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (9 Units)
MITMC 213 Advanced Computer Architecture 3 0 3
MITMC 233 Computer System Evaluation and Performance 3 0 3
MITMC 243 Distributed Computer Systems 3 0 3
MITELEC 213 Computer Network Technology 3 0 3
MITELEC 323 Information Technology Issues and Seminars 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3
MITELEC 101 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE PROJECT (6 Units)
MPCP 101 Capstone Project 1 3 0 3
MPCP 102 Capstone Project 2 3 0 3

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Master of Science in Computer Science

Master of Science in Computer Science (MSCS) emphasizes comprehension and understanding of the principles and concepts needed for designing and formulating new tools for applications development as well as generating new knowledge in the field.

Students entering this degree program must have completed undergraduate courses that provide the mathematical foundations for mathematical logic, calculus, discrete mathematics, data structures, computer programming and data organizations.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 022L1 Computer Systems Organization 2 3 (3)
MISRC 032L1 Information Management and Database Systems 2 3 (3)
MITRC 042L1 Computer Programming 2 3 (3)
MCSRC 053 Discrete Structures 3 0 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MCSCC 123 Advanced Data Structures and Algorithms 3 0 3
MCSCC 133 Advanced Computer Organization and Architecture 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3
MCSCC 153 Automata, Computability and Formal Languages 3 0 3
MSCSS 163 Language Translation and Execution 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVES COURSES (9 Units)
MCSELEC 213 Advanced Software Engineering 3 0 3
MISCC 123 Human – Computer Interaction 3 0 3
MCSELEC 233 Digital Signal Processing 3 0 3
MCSELEC 243 Networking and Communications 3 0 3
MCSELEC 263 Distributed Computer Systems 3 0 3
MCSELEC 273 Intelligent Systems 3 0 3
MCSELEC 293 Cryptology 3 0 3
MITCC 113 Platform Technologies 3 0 3
MITELEC 101 Special Topics 3 0 3
MCSELEC 223 Computer Vision and Image Processing 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
THESIS WRITING COURSES (6 Units)
MSCST 413 Thesis 1 3 0 3
MSCST 423 Thesis 2 3 0 3

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Master in Information Systems

Master’s degree in Information Systems at T.I.P. is developed to give the students strong foundation both in theories and applications needed in satisfying industry-desired competency in the field of Information Systems. MIS students will be able to experience unified approach in acquiring the technical knowledge and skills in addressing and solving organizational or business-related challenges and problems. T.I.P. has lined-up the most qualified master’s and doctorate degree holder professors of the institution.

The curriculum is designed in such a way that the students will develop a balanced mastery in business and technology to deal with the ever-growing and becoming complex information systems. The courses will directly link the learnings of the students to the real world organizational and business scenario, which they can apply to their current and future workplaces as IT professionals and administrators. The curriculum integrates elements like software applications, business laws and ethics, management, decision making, and other technology and business components, which will enable the students in running today’s business. The curriculum also intends for the students or professionals to be technologically up-to-date by offering them specializations which are essential for business administration, communication, and decision support. At the terminal part of their study, students are required to produce their independent study which is expected to be with relevant impact to the IS industry.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
REMEDIAL COURSES (12 Units)
MITRC 012L1 Data Structures and Algorithms 2 3 (3)
MITRC 022L1 Computer Systems Organization 2 3 (3)
MISRC 032L1 Information Management and Database Systems 2 3 (3)
MITRC 042L1 Computer Programming 2 3 (3)

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (15 Units)
MISCC 113 Financial Management 3 0 3
MISCC 193 IT Audit 3 0 3
PSMDSBC 101 Business Intelligence and Analytics 3 0 3
MISCC 200 Advanced Computer Systems 3 0 3
MISCC 183 IS Project and Change Management with Analysis and Design 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVES COURSES (9 Units)
MISBAEL 223 Informations Systems Analytics 3 0 3
MISBAEL 243 IT Quality Assurance 3 0 3
MISCC 143 Organization and Business Processes 3 0 3
MITNSEL 343 IT Security and Risk Management 3 0 3
MISICEL 333 Telecommunications and Networks 3 0 3
MISICEL 343 Consulting in Information Technology 3 0 3
MISPMEL 433 Operations and Service Management 3 0 3
MISCC 133 Legal and Ethical Issues in IS 3 0 3
MITELEC 101 Special Topics 3 0 3
MISCC 123 Human-Computer Interaction 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 UNITS)
MPCP 101 Capstone Project 1 3 0 3
MPCP 102 Capstone Project 2 3 0 3

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Master of Engineering with specialization in Computer Engineering

The Master of Engineering in Computer Engineering is an applications or project-oriented degree that emphasizes the application of theories and methods to actual problems in industry and academe. It generally focuses on the design and implementation of computer systems. Students will explore the complementary nature of hardware and software and will provide digital solutions to problems across a variety of technology-based industries. Students will actively involve in software and hardware design and development.

PROGRAM EDUCATIONAL OBJECTIVES

Three to five years of graduation, alumni of Master of Engineering in Computer Engineering shall:

  • have advanced their practice or achievement in the field of Computer Engineering and/or other endeavors or advocacies supported by their acquired engineering education;
  • strive to be globally competitive through
    - living by the TIP mission values, pursuing continuing education, and practicing continuous quality improvement (CQI) in their personal lives;
    - continuously scanning, adopting and building on the best practices in their field.

STUDENT OUTCOMES

By the time of graduation, students will be able to:

  1. solve complex engineering problems by designing systems, components, or processes to meet specifications in accordance with standards and consideration of realistic constraints.
  2. implement new techniques and modern engineering task towards sustainable development to the society.
  3. communicate effectively on complex engineering activities with various communities including engineering experts and society at large using appropriate level of discourse.
  4. maintain the conduct of professional and ethical standards in every engineering practice.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (9 Units)
MERC 111 Engineering Analysis 3 0 3
MERC 112 Research Techniques with Statistical Methods 3 0 3
MERC 113 Advanced Optimization Theory and Methods 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (9 Units)
MEMC 121 Advanced Computer Systems Architecture 3 0 3
MEMC 122 Advanced Embedded Systems 3 0 3
MEMC 124 Software Systems Design 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (6 Units)
MEEC 131 High-Speed Networks 3 0 3
MEEC 114 Network Security Systems Design 3 0 3
MEEC 115 Artificial Intelligence 3 0 3
MEEC 134 Advanced Software Engineering 3 0 3
MEEC 116 Advanced Project Management 3 0 3
MEEC 136 Mechatronic and Robotic Systems 3 0 3
PSMDSBE 102 Special Topics in Data Science 3 0 3
MEEC 111 Management of Technology 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3
MEMC 123 Advance Microprocessor Design      
MEEC 112 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MPCP 101 Capstone Project 1 3 0 3
MPCP 101 Capstone Project 2 3 0 3

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Master of Engineering with specialization in Electrical Engineering

The Master of Engineering in Electrical Engineering is an applications or project-oriented degree that emphasizes the application of theories and methods to actual problems in industry and academe. It generally focuses on the power system operation, control, protection and smart grid system. Students will explore more on the new technology used in power system and employ the latest trends and applications of smart system in the electrical industry.

PROGRAM EDUCATIONAL OBJECTIVES

Three to five years of graduation, alumni of Master of Engineering in Electrical Engineering shall:

  • 1. have advanced their practice or achievement in the field of Electrical Engineering and/or other endeavors or advocacies supported by their acquired engineering education;
  • strive to be globally competitive through
    - living by the TIP mission values, pursuing continuing education, and practicing continuous quality improvement (CQI) in their personal lives;
    - continuously scanning, adopting and building on the best practices in their field.

STUDENT OUTCOMES

By the time of graduation, students will be able to:

  1. solve complex engineering problems by designing systems, components, or processes to meet specifications in accordance with standards and consideration of realistic constraints.
  2. implement new techniques and modern engineering task towards sustainable development to the society.
  3. communicate effectively on complex engineering activities with various communities including engineering experts and society at large using appropriate level of discourse.
  4. maintain the conduct of professional and ethical standards in every engineering practice.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (9 Units)
MERC 111 Engineering Analysis 3 0 3
MERC 112 Research Techniques with Statistical Methods 3 0 3
MERC 113 Advanced Optimization Theory and Methods 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (9 Units)
MEEE 121 Power System Operation, Control and Automation 3 0 3
MEEE 122 Power System Fault Analysis, Switchgear and Protection System 3 0 3
MEEE 123 Power System Dynamics and Stability 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (6 Units)
MCHE 443 Material Engineering 3 0 3
MEEC 111 Management of Technology 3 0 3
MEEC 218 Smart Grid Technology 3 0 3
MEME 123 Renewable Energy Resources 3 0 3
MEEC 116 Advanced Project Management 3 0 3
MEEE 124 Power Electronics 3 0 3
MEEC 114 Network Security Systems Design 3 0 3
MEEC 220 Advanced Instrumentation and Automation Control 3 0 3
MEEC 224 Power Market Economics and Operation 3 0 3
MEEC 143 Power Systems Planning and Reliability 3 0 3
MEEC 141 Dynamics and Controls of Electric Machines 3 0 3
MEEC 112 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
INDUSTRY PROJECT COURSES (6 Units)
MPCP 101 Capstone Project 1 3 0 3
MPCP 102 Capstone Project 2 3 0 3

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Master of Engineering with specialization in Chemical Engineering

The Master of Engineering in Chemical Engineering is an applications or project-oriented degree that emphasizes the application of theories and methods to actual problems in industry and academe. It generally focuses on the design, enhancement, and implementation of chemical engineering systems and processes using modern engineering tools and techniques. Students will explore the complementary nature of chemical and biochemical processes in the industry, reactions and thermodynamics, the chemistry and design of pollution control. Students will develop solutions to problems across a variety of technology-based industries.

PROGRAM EDUCATIONAL OBJECTIVES

Three to five years of graduation, alumni of Master of Engineering in Chemical Engineering shall:

  • 1. have advanced their practice or achievement in the field of Chemical Engineering and/or other endeavors or advocacies supported by their acquired engineering education;
  • strive to be globally competitive through
    - living by the TIP mission values, pursuing continuing education, and practicing continuous quality improvement (CQI) in their personal lives;
    - continuously scanning, adopting and building on the best practices in their field.

STUDENT OUTCOMES

By the time of graduation, students will be able to:

  1. solve complex engineering problems by designing systems, components, or processes to meet specifications in accordance with standards and consideration of realistic constraints.
  2. implement new techniques and modern engineering task towards sustainable development to the society.
  3. communicate effectively on complex engineering activities with various communities including engineering experts and society at large using appropriate level of discourse.
  4. maintain the conduct of professional and ethical standards in every engineering practice.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (6 Units)
MERC 111 Engineering Analysis 3 0 3
MERC 112 Research Techniques with Statistical Methods 3 0 3
MERC 113 Advanced Optimization Theory and Methods 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (9 Units)
MCHE 213 Advanced Chemical Kinetics and Reaction Engineering 3 0 3
MCHE 223 Advanced Chemical Engineering Thermodynamics 3 0 3
MCHE 233 Advanced Transport Phenomena 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (6 Units)
MCHE 413 Environment, Energy and Technology Management 3 0 3
MCHE 423 Nuclear Chemical Engineering 3 0 3
MCHE 433 Chemical Engineering Applications of Radioisotope 3 0 3
MCHE 443 Materials Engineering 3 0 3
MCHE 453 Current Topics in Chemical Engineering 3 0 3
MCHE 463 Special Problems in Chemical Engineering 3 0 3
MCHE 313 Environmental Biotechnology 3 0 3
MCHE 323 Advanced Biochemical Engineering 3 0 3
MCHE 333 Advanced Industrial Pollution Control 3 0 3
MCHE 343 Environmental Impact Assessment 3 0 3
MEEC 112 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MPCP 101 Capstone Project 1 3 0 3
MPCP 101 Capstone Project 2 3 0 3

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Master of Engineering with specialization in Mechanical Engineering

The Master of Engineering in Mechanical Engineering is an applications or project-oriented degree that emphasizes the application of theories and methods to actual problems in industry and academe. It generally focuses on the design and development of mechanical systems. Students will explore the complementary nature of power generation, energy conversion, thermal system, instrumentation in manufacturing, and renewable sources of energy. Students will provide solutions to problems across a variety of technology-based industries.

PROGRAM EDUCATIONAL OBJECTIVES

Three to five years of graduation, alumni of Master of Engineering in Mechanical Engineering shall:

  • have advanced their practice or achievement in the field of Mechanical Engineering and/or other endeavors or advocacies supported by their acquired engineering education;
  • strive to be globally competitive through
    - living by the TIP mission values, pursuing continuing education, and practicing continuous quality improvement (CQI) in their personal lives;
    - continuously scanning, adopting and building on the best practices in their field.

STUDENT OUTCOMES

By the time of graduation, students will be able to:

  1. solve complex engineering problems by designing systems, components, or processes to meet specifications in accordance with standards and consideration of realistic constraints.
  2. implement new techniques and modern engineering task towards sustainable development to the society.
  3. communicate effectively on complex engineering activities with various communities including engineering experts and society at large using appropriate level of discourse.
  4. maintain the conduct of professional and ethical standards in every engineering practice.

CURRICULUM

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CORE COURSES (9 Units)
MERC 111 Engineering Analysis 3 0 3
MERC 112 Research Techniques with Statistical Methods 3 0 3
MERC 113 Advanced Optimization Theory and Methods 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
SPECIALIZATION COURSES (9 Units)
MEME 121 Conventional and Renewable Energy Resources 3 0 3
MEME 122 Advanced Ventilation, Air Conditioning and Refrigeration 3 0 3
MEME 124 Power Plant Systems 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
ELECTIVE COURSES (9 Units)
MCHE 443 Material Engineering 3 0 3
MEEC 111 Management of Technology 3 0 3
MEEC 171 Engineering Production Management 3 0 3
MELEC 172 Energy Management in Commercial and Industrial Sectors 3 0 3
MELEC 116 Advanced Project Management 3 0 3
MELEC 173 Energy Conversion-Technology and Policy 3 0 3
MELEC 174 Design of Thermal Systems 3 0 3
MELEC 175 Computer Aided Design with Finite Elements 3 0 3
MELEC 112 Special Topics 3 0 3

COURSE CODE DESCRIPTIVE TITLE Lec Hours Lab Hours Credit Units
CAPSTONE COURSES (6 Units)
MPCP 101 Capstone Project 1 3 0 3
MPCP 102 Capstone Project 2 3 0 3

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Professional Science Master’s (PSM) Degree in Data Science

Be a data scientist and an industry-desired professional.

With industries now relying on big data to come up with innovative solutions that will help them improve their operations, the need for professionals with an enhanced skill in data gathering, analysis, and interpretation is on the rise.

The Technological Institute of the Philippines (T.I.P.) meets the demand through Professional Science Master’s (PSM) Degree in Data Science. The graduates of this degree will be among a pool of needed expert professionals who can make sense of the data that management can act on to make better informed decisions.

    With PSM, you will learn to
  • Gather data
  • Turn big data into useful and actionable insights relevant to the industry
  • Solve real-world problems through carefully applied problem-solving skills
  • Contribute in the creation of more nimble, efficient and effective companies and industries

    What to expect?
  • Rigorous study in science and/or mathematics
  • Varied coursework in management, policy, law, or related fields
  • Development of professional and managerial skills such as writing, communications, and leadership
  • Opportunity to apply business, organizational, and technical skills through a final project developed in partnership with an industry partner.

    Why take PSM Degree in Data Science in T.I.P.?
  • It is the first and only Professional Science Master’s (PSM) Degree in Data Science in the National Capital Region (NCR).
  • Quality education while cost effective compared to other data science-related graduate programs.
  • It was developed with the assistance of the United States Agency for International Development (USAID) Science, Technology, Research and Innovation for Development (STRIDE).
  • The curriculum was benchmarked against the curricula of data science programs of US schools affiliated with the National Professional Science Master’s Association (NPSMA) of the United States ensuring its world-class quality.
  • Brought together in partnership with a learning-as-a-service provider across the Asia Pacific, CloudSwyft Global Systems, Inc. and a global technology and engineering company that provides solutions for customers in industrial, commercial and residential markets, Emerson Philippines.


CURRICULUM LEADING TO
PROFESSIONAL SCIENCE MASTER’S DEGREE IN DATA SCIENCE
EFFECTIVE SY 2020– 2021

Cat No. Descriptive Title Hours/Week Credit
REMEDIAL COURSES (9 Units) Lec Lab  
PSMDSRC 101 Statistics for Data Science 3 0 3
PSMDSRC 102 Data Management 3 0 3
PSMDSRC 103 Programming 3 0 3

Cat No. Descriptive Title Hours/Week Credit
SCIENCE CORE COURSES (12 Units) Lec Lab  
PSMDSSC 101 Data Mining 3 0 3
PSMDSSC 102 Data Visualization 3 0 3
PSMDSSC 103 Applied Machine Learning 3 0 3
PSMDSSC 104 Advanced Data Science 3 0 3

Cat No. Descriptive Title Hours/Week Credit
BUSINESS CORE COURSES (6 Units) Lec Lab  
PSMDSBC 101 Business Intelligence and Analytics 3 0 3
PSMDSBC 102 Project Management 3 0 3

Cat No. Descriptive Title Hours/Week Credit
SCIENCE ELECTIVE COURSES (3 Units) Lec Lab  
PSMDSSE 101 Decision Methods and Modeling 3 0 3
PSMDSSE 102 Deep Learning 3 0 3

Cat No. Descriptive Title Hours/Week Credit
BUSINESS ELECTIVE COURSES (3 Units) Lec Lab  
PSMDSBE 101 Data Quality, Control and Access 3 0 3
PSMDSBE 102 Special Topics in Data Science 3 0 3
PSMDSBE 103 Seminar in Professional Science Practice 3 0 3

Cat No. Descriptive Title Hours/Week Credit
CAPSTONE PROJECT (6 Units) Lec Lab  
PSMDSCP 200 Capstone Project 1 (Industry Immersion) 3 0 3
PSMDSCP 201 Capstone Project 2 3 0 3

                            TOTAL        30 Units




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