Features
- Elective Courses
- 1) Big Data Analytics
- 2) Multivariate Data Analysis
- 3) Machine Learning
- 4) Programming in Java
- 5) Econometric Analysis
- 6) Web and Social Media Analytics
- 7) Financial Data Analytics
- 8) Risk Analytics
- 9) Supply Chain Analytics
- 10) Marketing Analytics
Target audiences
- Registration Fees- 11,200/-
- Semester 1 - 32,500 /-
- Semester 2 - 42,500 /-
- Semester 3 - 42,500 /-
- Semester 4 - 42,500 /-
- Annually fees: 1st year - 75,000 /- 2nd year - 85,000 /-
- Total Fees- 1,70,000/-
- (No cost EMI available for 18 months- 8888 /- Processing fee+ 18% GST = 2360)
Vellore Institute of Technology (VIT) has launched an online M.Sc. in Data Science programme designed to help learners analyse complex data, derive valuable insights, and make informed, data-driven decisions across various fields. The programme equips working professionals with advanced data science skills that can boost their careers, eliminate business bottlenecks, and enhance organisational outcomes. As an affordable offering from a top-tier institution, it combines high-quality education with accessibility, making it an excellent choice for those aiming to fast-track their growth in data science and analytics. It empowers learners to transform their aspirations into achievements and build a successful, data-driven future.
Curriculum
- 4 Sections
- 18 Programs
- 2 Years
Expand all sectionsCollapse all sections
- Semester 15
- Semester 25
- Semester 35
- Semester IV3
- Registration Fees- 11,200/-
- Semester 1 - 32,500 /-
- Semester 2 - 42,500 /-
- Semester 3 - 42,500 /-
- Semester 4 - 42,500 /-
- Annually fees: 1st year - 75,000 /- 2nd year - 85,000 /-
- Total Fees- 1,70,000/-
- (No cost EMI available for 18 months- 8888 /- Processing fee+ 18% GST = 2360)
- Elective Courses
- 1) Big Data Analytics
- 2) Multivariate Data Analysis
- 3) Machine Learning
- 4) Programming in Java
- 5) Econometric Analysis
- 6) Web and Social Media Analytics
- 7) Financial Data Analytics
- 8) Risk Analytics
- 9) Supply Chain Analytics
- 10) Marketing Analytics
Candidate must be an engineering graduate with a minimum of 50% (45% for reserved categories) OR Candidates must have a bachelor's degree of at least 3 years duration in statistics, mathematics, computer science, engineering and technology from a recognised university/institution and an aggregate grade of at least 50% (45% for reserved categories).
Lessons:
