ACADEMIC EXPERIENCE

Proper Fusion of Technical and Business Courses

MSDS EDUCATION JOURNEY

To fully adapt in this era of big data and digitization, the Master of Science in Data Science (MSDS) program trains its students to be innovative data-driven leaders who can meet the demands and needs of various global institutions. 

Through the MSDS’ holistic approach, students are exposed to different data science tools and methods and are taught various algorithms and models to make predictive analysis and derive data-driven decisions. They also learn from practitioners in the field especially in building data strategies to help jumpstart organizations in their data-driven journeys and in managing data science teams.  MSDS students also engage with different organizations to work on real-world data science use-cases as junior data science consultants.  

By the end of the program, MSDS students will become:  

  • Critical data-driven thinkers and decision-makers.
  • Data Science practitioners
  • Effective communicators
  • Ethical and effective team players

PROGRAM AT A GLANCE

Notable positions of MSDS Graduates:

  • Lead Data Scientist/ Data Scientist 
  • Risk Data Scientist 
  • VP for Digital Solutions and Platforms 
  • Digital Transformation Principal 
  • Senior AVP for Strategic Initiatives Group 
  • Corporate Strategy Manager 
  • Product Analytics Manager 
  • Emerging Technology Engineer (AI and ML) 
  • Research Team Lead 
  • Data Science Consultant 

CURRICULUM

The MSDS program curriculum has a total of 52 units, exhibiting a proper fusion of technical (data science and computing) courses and general business and management courses.

FIRST TERM

(Apr – June 2021)

  • Mathematics for Data Science 
  • Programming for Data Science 
  • Data Viz and Storytelling 
  • Introduction to Data Science 
  • Management Communications I 
  • Design Thinking 
  • Language of Business 

SECOND TERM

(Jul – Sept 2021)

  • Data Mining and Wrangling 
  • Applied Computational Statistics 
  • Machine Learning I 
  • Financial Management I 
  • Management Communications II 
  • Digital Marketing and Analytics I 
  • Business Economics 

THIRD TERM

(Sept -Dec 2021)

  • Machine Learning II 
  • Electives 
  • Project Management 
  • Digital Marketing and Analytics II 
  • Financial Management II 
  • Negotiating Change 
  • Management Innovation 

FOURTH TERM

(Jan – Apr 2022)

  • Machine Learning III 
  • Big Data and Cloud Computing 
  • Capstone (in progress) 
  • Electives 
  • Human Behavior in Organizations 
  • Operations Management 

FIFTH TERM

(Apr – June 2022)

  • Network Science
  • AI Ethics
  • Capstone
  • Electives
  • Strategic Management
  • Managing for Sustainable Development Impact 

ELECTIVES

 

  • Complexity Science 
  • Advanced Data Mining 
  • Introduction to Geospatial Analysis  
  • Natural Language Processing 
  • Time Series Analysis 
  • Data Engineering 
  • Introduction to Image Processing 
  • Data Applications (Web) 

*Curriculum details may be subject to change.

CAPSTONE PROJECTS with REAL-WORLD USE CASES

The MSDS capstone project is one of the key features of the program that makes it quite unique compared to other data science programs. It is a culminating activity where our students take on projects (real-world problems) from various companies, organizations, and government agencies for which there are no existing solutions.

Here, students don’t just jump straight into model building; instead, they go through the entire data science project workflow – from writing project proposals, to data extraction, data mining, and building AI models, to model/platform deployment.

In this exercise, MSDS students are trained as data science consultants; as part of their training, they work closely with world-class professors, full-time data scientists at ACCeSs@AIM, and domain experts.

THE CAPSTONE PROJECT PROCESS

  1. industry, government, and/or international organizations submit use cases to MSDS program. 
  2. A call for proposals from students is opened. 
  3. Interested student team submits proposals. 
  4. Stakeholders and data scientists review the proposals. 
  5. A project is awarded to teams; this will be the research topic of students. 

The Outcome: Real Business Value Generated

In 2020, the MSDS program received over 25 real-world use cases from various organizations and enterprises, 15 of which made it to the program portfolio. Partners and stakeholders estimated a total potential revenue of about US $40 million from these projects.  

In 2019, this estimate was at US $10 million for 10 capstone projects. Indeed, through the program’s partnerships, MSDS students become data science consultants even while studying; at the same time, the program gets to help organizations innovate through data science and machine learning. 

Capstone Industry Partners’ Interview