Programme Structure (with Credits)
Candidate shall undertake the following modules:
• Data science research project 45
• Critical Perspectives in data science 15
Candidates shall also study and be assessed in the following modules in one of the following lists depending on their prior qualification and experience:
• List A
1. Introduction to computer science 15
2. Programming for data science 15
3. Introduction to mathematics for data science 15
4. Introduction to statistics for data science 15
5. Machine Learning 15
6. Ethics and Bias in Data Analytics 15
7. Strategic Leadership 15
• List B
1. Introduction to computer science 15
2. Programming for data science 15
3. Introduction to statistics for data science 15
4. Machine learning 15
5. Ethics and bias in data analytics 15
6. Strategic Leadership 15
7. Additional List E to be undertaken 15
• List C
1. Programming for data science 15
2. Introduction to mathematics for data science 15
3. Introduction to statistics for data science 15
4. Machine learning 15
5. Ethics and bias in data analytics 15
6. Strategic Leadership 15
7. Additional List E to be undertaken 15
Candidates shall also study and be assessed in modules to the value of 15 credits from list D
• List D
1. Test mining and language analytics 15
2. Data Exploration, visualization, and Unsupervised Learning 15
3. Multilevel Modelling 15
Candidates taking modules in either list B or list C shall also study and be assessed in 15 credits taken from the following modules from List E subject to timetabling compatibility:
• List E
1. Data science application in hospital administration 15
2. Bioinformatics 15
3. Text Mining and Language Analytics 15
Test and Exam Schedule to be notified upon registration.
COURSE DURATION
Mode of Training
Skill Level
upcoming Batch
Programme Structure (with Credits)
Candidate shall undertake the following modules:
• Data science research project 45
• Critical Perspectives in data science 15
Candidates shall also study and be assessed in the following modules in one of the following lists depending on their prior qualification and experience:
• List A
1. Introduction to computer science 15
2. Programming for data science 15
3. Introduction to mathematics for data science 15
4. Introduction to statistics for data science 15
5. Machine Learning 15
6. Ethics and Bias in Data Analytics 15
7. Strategic Leadership 15
• List B
1. Introduction to computer science 15
2. Programming for data science 15
3. Introduction to statistics for data science 15
4. Machine learning 15
5. Ethics and bias in data analytics 15
6. Strategic Leadership 15
7. Additional List E to be undertaken 15
• List C
1. Programming for data science 15
2. Introduction to mathematics for data science 15
3. Introduction to statistics for data science 15
4. Machine learning 15
5. Ethics and bias in data analytics 15
6. Strategic Leadership 15
7. Additional List E to be undertaken 15
Candidates shall also study and be assessed in modules to the value of 15 credits from list D
• List D
1. Test mining and language analytics 15
2. Data Exploration, visualization, and Unsupervised Learning 15
3. Multilevel Modelling 15
Candidates taking modules in either list B or list C shall also study and be assessed in 15 credits taken from the following modules from List E subject to timetabling compatibility:
• List E
1. Data science application in hospital administration 15
2. Bioinformatics 15
3. Text Mining and Language Analytics 15
Test and Exam Schedule to be notified upon registration.