Undergraduate Programs

Bachelor of Science in Applied Mathematics - Master in Data Science (BS AMDSc - M DSc)

Programme Description

The BS AMDSc – M DSc program is a 5-year program in applied mathematics specializing in data science. It is a joint offering of the Department of Mathematics and the Department of Information Systems and Computer Science.

Students of the program obtain their bachelor’s degree after 4 years. Those with satisfactory academic performance are then qualified to proceed into the master’s degree program in their fifth year. The undergraduate component of the program includes the Core Curriculum of the Ateneo, the Applied Mathematics Curriculum that is compliant with the Policies, Standards and Guidelines (PSG) set out by the Commission of Higher Education (CHED) and courses in Data Science.

The graduate component of the program provides further specialization in data science with strong emphasis on mathematical rigor. It includes courses in data mining, database programming, data visualization, pattern recognition, big data processing, advanced statistical methods, stochastic models, mathematical analysis, coding theory, graph theory and cryptography. Aside from these courses, an essential part of the master’s program is the capstone project. This part of the curriculum aims to provide the students with the opportunity to apply the theories that they learned in the classroom and possibly meaningfully assist a partner community or institution in addressing real-life problems.

Through the BS AMDSc-M DSc program, the partnership of the Mathematics Department and the Department of Information Systems and Computer Science aims to produce a new generation of professionals who can steer the country towards developing more sophisticated technologies, and adopting sound and efficient policies through their savvy in data analytics.

Programme Specification Overview

Programme Learning Outcomes

Core Curriculum Learning Outcomes

Major Curriculum Learning Outcomes

A. Applied Mathematics

• Demonstrate broad and coherent knowledge and understanding in the core areas of mathematics and allied fields.
• Demonstrate skills in pattern recognition, generalization, abstraction, critical analysis, synthesis, problem solving and rigorous argument.
• Demonstrate proficiency in reading and writing mathematical proofs.
• Interpret scientific, economic, and market data in order to arrive at critical judgments that include reflection on relevant scientific and ethical issues.
• Implement basic mathematical, statistical, and computational methods in data analysis and problem solving.
• Communicate, both orally and in writing, information, ideas, and solutions to problems, to other scientists, decision makers, and the public.
• Understand the limitations and implications of mathematical models as applied in real-life contexts.
• Collaborate in research and development projects.
• Develop creativity, rigor, and discipline in dealing with various mathematical problems.

B. Data Science

• Analyse data from a variety of domains ranging from Internet social networks and applications, to natural language and sensor data
• Apply a variety of data mining techniques for modeling datasets, handling incomplete and erroneous data, and automatically predicting and classifying elements in a dataset.
• Apply big data processing and cloud computing techniques to address the scalability challenges of very large datasets.
• Complete a capstone project for a partner institution that requires the creation of mathematical models and the use of appropriate technologies to carry out computations.

Retention Criteria

BS AMDSc-M DSc majors must satisfy the following conditions in order to be retained in the program:

• At the end of first year, a grade of at least C in MATH 71.1 and an average grade of at least C (2.00) in MATH 31.1 and MATH 31.2;
• At the end of second year, an average of at least 1.90 in all major subjects offered by the Mathematics Department and Department of Information Systems and Computer Science.

To continue to the M DSc program, students must satisfy the following requirements at the end of the senior year. Those who are not able to comply with these requirements will still graduate with a degree BS Applied Mathematics (with Specialization in Data Science) after completing all the academic requirements for the BS degree.

• No more than 2 failing marks (F) in all undergraduate major subjects offered by the Mathematics Department and the Department of Information Systems and Computer Science, and
• No more than 3 grades lower than C in all undergraduate major subjects offered by the Mathematics Department and the Department of Information Systems and Computer Science

Shifting Criteria

Currently enrolled students who wish to shift into the BS AMDSc-M DSc program must fulfil the following requirements to be admitted into the program:

• Shifting from a Math program (BS Math, BS AMF):
          Fulfilment of the retention requirements of the original Math program
• Shifting from a non-Math program
         1. An average grade of at least B in all math subjects taken,
         2. An average grade of at least B in all calculus courses (if taken), and
         3. A grade of at least B in all computer science courses (if taken).

Last updated: 18 September 2019
EXCEL File: Final 5-Year AMDSc Program of Study May 22 2019

Last updated: 21 October 2020
PDF File: BS AMDSs-M DSs Curriculum ver 2020