Applications for 2025 is now open!
Get started on your application today or request more info below to learn more about the MADS program.
Master of Applied Data Science
University of Colombo
SQLF Level 8
Applications for 2025 is now open!
Get started on your application today or request more info below to learn more about the MADS program.
Accredited diploma
Offered by the University of Colombo, a top ranked public research university in the Sri Lanka
100% online
Hands-on learning from anywhere, engaging group discussions with professors and peers.
12 – 36 months
Approximate program length depending on course load.
Academics
Students enrolled in the University of Michigan School of Information’s Master of Applied Data Science (MADS) program take courses in all essential subjects of applied data science, with an emphasis on an end-to-end approach, as in from data science problem formation to presenting data analysis. The MADS program intersects computation with theory and application, ensuring that students are prepared to put data science outcomes into practice in a variety of industries.
The program is flexible and designed to fit your life, even if you have a full-time job and family responsibilities.
Application information
Applications for 2025 are now open. Don’t miss your opportunity, apply today.
Priority Application Deadline: March 1, 2025
Upcoming Information Sessions
Get a head start on your degree with courses, specializations, or certificates
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
Benefit from a flexible online format designed for either full-time study or part-time study while working.
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Curriculum
Formulating Problems
This degree is designed for students who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and presented across a variety of industries. Students will learn how to apply advanced data science skills in ways that help organizations become more effective, strategic, ethical and successful in an era of generative artificial intelligence.
Applicants should have a history of academic and/or professional success, demonstrate creativity and a commitment to sophisticated problem solving, and exhibit persistence, leadership and initiative.
Collecting And Processing Data
This degree is designed for students who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and presented across a variety of industries. Students will learn how to apply advanced data science skills in ways that help organizations become more effective, strategic, ethical and successful in an era of generative artificial intelligence.
Applicants should have a history of academic and/or professional success, demonstrate creativity and a commitment to sophisticated problem solving, and exhibit persistence, leadership and initiative.
Analysis And Modeling Data
This degree is designed for students who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and presented across a variety of industries. Students will learn how to apply advanced data science skills in ways that help organizations become more effective, strategic, ethical and successful in an era of generative artificial intelligence.
Applicants should have a history of academic and/or professional success, demonstrate creativity and a commitment to sophisticated problem solving, and exhibit persistence, leadership and initiative.
Presenting And Integration
Based on the information available, you are not explicitly required to submit a traditional letter of recommendation for the Postgraduate Diploma in Economic Development (Pg. DED). Instead, it is standard practice for the University of Colombo’s postgraduate application forms to include a section for you to provide the details of referees.
The typical procedure is as follows:
Python And Statistics Proficiency Requirements
This degree is designed for students who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and presented across a variety of industries. Students will learn how to apply advanced data science skills in ways that help organizations become more effective, strategic, ethical and successful in an era of generative artificial intelligence.
Applicants should have a history of academic and/or professional success, demonstrate creativity and a commitment to sophisticated problem solving, and exhibit persistence, leadership and initiative.
Non-Native English Speaker Asesments
This degree is designed for students who want to take on real-world data challenges and gain a comprehensive understanding of how data is collected, processed, analyzed, visualized, and presented across a variety of industries. Students will learn how to apply advanced data science skills in ways that help organizations become more effective, strategic, ethical and successful in an era of generative artificial intelligence.
Applicants should have a history of academic and/or professional success, demonstrate creativity and a commitment to sophisticated problem solving, and exhibit persistence, leadership and initiative.
Curriculum
Courses cover:
- Computational methods for big data
- Visualizing data using various methods
- Analytic techniques (machine learning, network analysis, natural language processing, deep learning, reinforcement learning, etc.)
- Data science applications in context (search and recommended systems, sports analytics, learning analytics, and more)
The following course clusters and titles highlight a breadth and depth of engaging data science subjects. Courses cover everything from problem formulation to putting results into action.
Each course is 1 credit unit (roughly 4 weeks) in length. Milestone courses are 2 credits and the capstone course is 3 credits. A total of 34 credit units is required to graduate.
