Bachelor of Science in Computer Science with Specialization in Data Science - UPHSD Molino Campus

Turn information into innovation with a Bachelor of Science in Computer Science with Specialization in Data Science (BSCS–Data Science)—a CHED-recognized program that equips students in the Philippines with advanced skills in computing, analytics, and machine learning. This course blends core computer science with data-driven technologies to develop professionals who solve real-world problems through intelligent systems.

Program overview

The Bachelor of Science in Computer Science with Specialization in Data Science at the University of Perpetual Help System DALTA Molino Campus prepares students for careers in data-driven industries. The program focuses on data analytics, artificial intelligence, machine learning, and software development.

Students learn how to collect, process, analyze, and interpret large datasets to support decision-making. The program combines strong foundations in computer science with specialized training in data science tools and techniques.

Why Choose BS Computer Science (Data Science) at UPHSD Molino?

  • Core training in algorithms, software engineering, database systems, and programming languages
  • Specialized modules in data mining, machine learning, big data analytics, and data visualization
  • Hands-on experience through coding labs, capstone projects, and industry-aligned internships
  • Career paths in data science, AI development, business intelligence, software engineering, and tech consulting
  • Ideal for students passionate about technology, problem-solving, and data-driven innovation

Program highlights

  • Data Analytics and Visualization
  • Machine Learning and Artificial Intelligence
  • Big Data Technologies
  • Database Management Systems
  • Programming (Python, Java, SQL)
  • Software Engineering and Development

Curriculum snapshot

The curriculum integrates computer science fundamentals with specialized data science subjects:

  • Introduction to Computing and Programming
  • Data Structures and Algorithms
  • Database Systems
  • Statistics and Probability
  • Machine Learning
  • Data Mining and Analytics
  • Artificial Intelligence
  • Capstone Project / Thesis

Career Opportunities

Graduates of the program may pursue careers such as:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Software Developer
  • Business Intelligence Analyst
  • AI Specialist
  • Systems Analyst
  • Artificial Intelligence Engineer / Researcher
  • Cloud Engineer
  • Cybersecurity Analyst
  • Data Architect
  • Data Engineer
  • Data Scientist / Analyst
  • Database Administrator
  • Network Manager
  • QA Specialist
  • Software Developer / Engineer
  • System Analyst

Accreditation & quality assurance

The BS Computer Science program at UPHSD Molino Campus follows the standards set by the Commission on Higher Education (CHED). Continuous curriculum enhancement ensures alignment with emerging technologies and industry requirements.

Apply & Contact

Ready to pursue your passion and build your future? Apply to a program at the Molino Campus of the University of Perpetual Help System DALTA or schedule a campus visit to learn more about your opportunities.

Campus Address:
Salawag-Zapote Road, Molino 3, City of Bacoor, 4102

Phone:
(046) 477-0602 local 112 | 0927-733-4438

Email:
admission.molino@perpetualdalta.edu.ph

Admission Requirements

  • SF 9 (Original Report Card)
  • Certificate of Good Moral Character
  • Photocopy of Birth Certificate (PSA Issued)
  • Latest 2×2 picture (3pcs.)
  • Ishihara and Audiometry Test Result for Maritime Education
  • Ishihara Medical Test Result for Doctor of Dental Medicine and Aviation Electronic Technology
  • 1 Long Brown Envelope
  • 1 Long White Folder

PROGRAM EDUCATION OBJECTIVES (PEO)

BS Computer Engineering (BSCpE)
Effectivity A.Y. 2016 - 2017

The Bachelor of Science in Computer Engineering Educational
Objectives (BSCPE PEOs) represent the expected characteristics and/or accomplishments of our graduates. Within 3 to 5 years
after obtaining the degree, our graduates will be able to:

PEO 1:

possess a broad understanding of the fundamental concept of with emphasis on BSCpE analytical and creative abilities that will allow him to be competitive in the wide
range of his chosen profession.

PEO 2:

exhibit professionalism and promote social responsibility guided by Christian values.

PEO 3:

pursue lifelong learning necessary to advance professionally in their chosen field, such as graduate work and other professional education.

STUDENT OUTCOMES (SO)

Effectivity AY 2022 - 2023

The Bachelor of Science in Computer Engineering Student Outcomes (BSCpE SOs) represent the expected skills, knowledge, and behaviors of a student as they progress through the program. Effective school year 2022-2023, a graduate of a BS in Computer Engineering (BSCPE) degree, must be able to:

  1. Apply knowledge of mathematics, natural science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  2. Conduct investigations of complex engineering problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
  3. Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  4. Function effectively as an individual, and as a member or leader in diverse teams and in multi- disciplinary settings.
  5. Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  6. Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
  7. Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  8. Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex engineering problems in societal and environmental context.
  9. Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  10. Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering
    practice and solutions to complex engineering problems.
  11. Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering problems with an understanding of the limitations.
  12. Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  13. Ability to design, develop, implement, and improve integrated systems that include people, materials, information, equipment and energy.
  14. A profound understanding of industrial engineering in taking part the perpetualite core values in the community. (Institutional SO)

Reference: CASEE Manual, 2nd Edition, Rev. 0 and CMO No. 96 Series of 2017

Learning Approach & Industry Projects

The program emphasizes project-based learning, coding exercises, and real-world data analysis projects. Students develop applications, analyze datasets, and create predictive models to solve practical problems.

Internships & industry partnerships

Students complete internships with IT companies, tech startups, and organizations utilizing data analytics. These experiences provide hands-on industry exposure and professional networking opportunities.

Frequently asked questions (FAQs)

How long is the program?

The program typically takes four years to complete.

No. The program begins with foundational programming courses suitable for beginners.

Yes. Data science is one of the most in-demand and highest-paying fields in the tech industry.

Yes. Data science and IT professionals are highly in-demand worldwide.

Visit or Contact us

Get in Touch

For detailed program inquiries, faculty list, tuition rates, or to schedule a campus tour, contact the Molino admissions office.