Master of Science (Data Science) at Symbiosis School for Online and Digital Learning

INR 140,000

Symbiosis School for Online and Digital Learning, IND

Type: Masters Duration: 2.0 years

Explore the Master of Science (Data Science) program at Symbiosis School for Online and Digital Learning. This program is offered in IND and provides an excellent learning opportunity in Masters studies.

The Master of Science in Data Science program at Symbiosis School for Online and Digital Learning (SSODL) is designed to equip students with essential knowledge and skills in the rapidly evolving field of data science. Spanning 24 months, this fully online program covers the entire data science lifecycle, including statistical foundations, technologies, and practical applications. The curriculum is structured into four semesters, featuring core courses such as Statistical Computing, Machine Learning Algorithms, and Data Analysis Using Python, alongside electives like Natural Language Processing and Fuzzy Logic. Students will engage in both internal assessments and external examinations, ensuring a comprehensive evaluation of their understanding. The program is accessible 24/7 through a dedicated learning management system, allowing for flexibility in learning. Graduates will receive a Master of Science degree upon successful completion, provided they achieve a minimum CGPA of 4.00 out of 10.00.

University
Symbiosis School for Online and Digital Learning
University Location
IND (Online)
Program Duration
2.0 years
Ranking
Not available
Part-time allowed
Yes

Required Courses
  • Statistical Computing
  • Research Methodology
  • Data Analysis Using Python
  • NOSQL Databases
  • Data Warehousing
  • Data Management
  • Mathematics Foundations
  • Multivariate Statistics-1
  • Statistical Inference
  • Machine Learning Algorithms
  • Text Analytics
  • Operations Research and Optimization Techniques
  • Data Protection and Privacy
  • Data Mining
  • Multivariate Statistical Analysis-2
  • Artificial Neural Network and Deep Learning
  • Data Analysis and Visualization
  • Big Data Analytics
  • Time Series Analysis
  • Data Analytics with Excel
  • Project
Elective Courses
  • Fuzzy Logic
  • Natural Language Processing
  • Cognitive Computing
  • Reinforcement Learning
  • Social Media and Web Analytics
  • Computer Vision
  • Analytics Applications