The Master of Science (M.Sc.) Data Science syllabus at upGrad, Mumbai is designed to provide overall knowledge to the students with a strong foundation. Master of Science (M.Sc.) Data Science faculty at upGrad specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Science (M.Sc.) Data Science at upGrad, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Science (M.Sc.) Data Science syllabus at upGrad, Mumbai maintains a balance between theoretical knowledge and practical knowledge.
Master of Science (M.Sc.) Data Science first year students at upGrad are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. upGrad, Mumbai also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Science (M.Sc.) Data Science syllabus at upGrad, Mumbai is also frequently updated to give industry relevant training and knowledge to students. upGrad strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at upGrad enable Master of Science (M.Sc.) Data Science students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Master of Science (M.Sc.) Data Science progress, students learn advanced topics and complex concepts. The Master of Science (M.Sc.) Data Science curriculum at upGrad, Mumbai mainly focuses on analytical and critical thinking. As the Master of Science (M.Sc.) Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Science (M.Sc.) Data Science at upGrad also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Master of Science (M.Sc.) Data Science curriculum at upGrad includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Science (M.Sc.) Data Science syllabus at upGrad aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at upGrad
Note: Given below syllabus is based on the available web sources. Please verify with the upGrad, Mumbai for latest Master of Science (M.Sc.) Data Science curriculum.
The syllabus for a Master of Science in Data Science program typically covers a wide range of topics to provide students with a comprehensive understanding of data analysis, machine learning, and data-driven decision-making. Below is a sample syllabus that includes common courses found in such a program.
S.No |
1st Year Syllabus of M.Sc in Data Science |
1 | Data Science Programming |
2 | Data Mining and Warehousing |
3 | Econometrics |
4 | Construction Economy and Finance |
5 | Data Analytics Mathematics |
6 | Computational Linear Algebra |
7 | Data Analytics and Graphs |
9 | Empirical Research |
10 | Advanced-Data Analytics |
11 | Inferential Statistics |
12 | Stochastic Processes |
13 | Optimization Techniques |
14 | Software Engineering |
15 | Software lab in Python |
2nd Year OR 3rd and 4th Semester Syllabus of M.Sc in Data Science
S.No | Subjects |
1 | Machine Learning |
2 | Hadoop Programming |
3 | Big Data Analytics |
4 | Practicals |
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