MSc Data Science and Analytics
Master of Science
Data Science and Analytics
Eligibility
Bachelor’s degree in Mathematics, Computer Science, Statistics, or related fields from a recognized university.
Overview
M.Sc. in Data Science and Analytics provides students with expertise in handling large datasets, statistical analysis, and data-driven decision-making. This program prepares students for roles in data science and analytics across various industries.
Program Description
The curriculum focuses on data mining, machine learning, data visualization, and statistical modeling. Students learn how to extract insights from complex datasets and apply them to solve real-world problems.
Awards
- Degree: Master of Science (Data Science and Analytics)
- Additional Certifications: Data Visualization, Machine Learning Essentials
Curriculum Structure (Semester-Wise)
- Introduction to Data Science and Analytics
- Probability and Statistics for Data Science
- Programming for Data Analysis (Python/R)
- Data Visualization and Interpretation
- Data Science Lab: Projects and Case Studies
- Machine Learning Algorithms
- Statistical Modeling and Hypothesis Testing
- Data Mining and Predictive Analytics
- Big Data Technologies and Tools
- Elective: Deep Learning / Natural Language Processing
- Advanced Data Analysis and Modeling
- Cloud Computing for Data Science
- Data Ethics and Privacy
- Research Methodology and Data-driven Projects
- Elective: Time Series Analysis / Data Engineering
- Dissertation / Capstone Project
- Industry Internship
- Seminar on Data Science Trends and Applications
- Elective: AI in Business / Data Science in Healthcare
Career Outcomes
- Data Scientist/Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Research Scientist