- Faculty
School of Social Sciences
- Department
Department of Data Sciences And Analytics
- Campus
Gnanagangothri Campus
- Engagement Mode
Full Time
- Study
2 Years
Overview
The MSc in Data Science and Analytics program offers a rigorous and comprehensive curriculum designed to equip students with the skills and knowledge needed to excel in the data-driven world. Students build a strong foundation with courses in Advanced Maths, Database Management Systems, Advanced Statistics, and Python/R Programming, complemented by hands-on labs and BI tools like Power BI. The program delves into practical applications with Data Acquisition and Pre-processing, Machine Learning, Operations Research, Marketing Analytics, and Behavioral Economics and Finance. Advanced topics such as Big Data Analytics for Finance, Deep Learning, and Optimization Techniques are covered, along with electives in emerging fields like Blockchain and Cloud Analytics. A comprehensive project or internship allows students to apply their knowledge to real-world problems. Given the high demand for data professionals across industries, this program not only prepares students for various high-demand roles but also inspires them to become leaders in the ever-evolving field of data science and analytics.
Program Objectives
- Data acquisition/storage/management, Intermediate level of Maths, Stats and Coding
- Core understanding of algorithms which are in demand across various sectors of Business
- Extract the insights from data and covey to the decision makers
- The analytics related course delivery will be distributed among
- Data Science,
- Economics and/or Finance,
- Market & Business
- Emerging Trends and Technologies
- Hands-on experience through Project
Curriculum Details
| Course Type | Course Name | Credits |
|---|---|---|
| Core | Advanced Maths | 4 |
| Core | Data Base Management System and advanced SQL | 4(LAB) |
| Core | Advanced Statistics | 4 |
| Core | Programming Language | 4(LAB) |
| Core | Applied Econometrics | 4 |
| Skill Enhancement Course | BI Tools (Power BI) | 2 |
| Total | 22 | |
| Course Type | Course Name | Credits |
|---|---|---|
| Core | Data acquisition and data Pre-processing | 4(LAB) |
| Core | Machine Learning | 4(LAB) |
| Core | Operations Research | 4 |
| Core | Marketing Analytics | 2 |
| Core | Behavioral Economics and Finance | 4 |
| Electives (anyone from basket) | Research Writing/Methodology | 3 |
| Fuzzy Logics | 3 | |
| Skill enhancement | Advanced Spreadsheet Analytics | 2(lab) |
| Total | 25 | |
| Course Type | Course Name | Credits |
|---|---|---|
| Core | Temporal and Cross-sectional modeling/ Computational Statistics for Data Science | 4(LAB) |
| Core | Optimization techniques | 3 |
| Core | Big Data Analytics | 4(LAB) |
| Core | Advanced ML /Deep Learning | 4(LAB) |
| Skill Enhancement Course | Placement Practice | 2 |
| Electives for Specialization (choose one from the basket) | Supply Chain Management and Analytics | 3 |
| Financial Technology – Digital Currencies, Block Chain, Crypto etc. | 3 | |
| Business Analytics | 3 | |
| NLP & Financial Statement Analysis | 3 | |
| Digital Story Telling (Towards S&T) | 3 | |
| Cloud Analytics (Azure Synapse Analytics) | 3 | |
| Indian Economy and Public Policy challenges | 3 | |
| Total | 20 | |
| Course Type | Course Name | Credits |
|---|---|---|
| Project/Internship | 13 | |
| Total | 13 | |
Eligibility Criteria
Students with 3 years Bachelor's Degree, who have studied Mathematics as a subject during UG
Structure
Fee Strusture:
| Programme Name | Fee |
|---|---|
| M.Sc(Data Sciences and Analytics) | Rs. 180000 Per Annum |
Intake
20 Students
Career Path
MSc in Data Science and Analytics opens up a diverse career opportunities such as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Financial Analyst
- Operations Research Analyst
- Marketing Analyst
- Data Engineer
- Econometrician, Cloud Data Analyst
- Research Scientist
- Data Consultant.
ADDRESS