Master of Science in Data Science Syllabus - Bir Tikendrajit University

  • Years 2 Years
  • Type Course Post Graduate
  • stream Computer Science and IT
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024

The Master of Science (M.Sc.) Data Science syllabus at Bir Tikendrajit University, Imphal East is designed to provide overall knowledge to the students with a strong foundation. Master of Science (M.Sc.) Data Science faculty at Bir Tikendrajit University specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Science (M.Sc.) Data Science at Bir Tikendrajit University, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Science (M.Sc.) Data Science syllabus at Bir Tikendrajit University, Imphal East maintains a balance between theoretical knowledge and practical knowledge.

Master of Science (M.Sc.) Data Science first year students at Bir Tikendrajit University are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Bir Tikendrajit University, Imphal East also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Science (M.Sc.) Data Science syllabus at Bir Tikendrajit University, Imphal East is also frequently updated to give industry relevant training and knowledge to students. Bir Tikendrajit University strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Bir Tikendrajit University 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 Bir Tikendrajit University, Imphal East 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 Bir Tikendrajit University 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 Bir Tikendrajit University 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 Bir Tikendrajit University aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Bir Tikendrajit University

  1. Workshops and Seminars - Regular sessions with industry experts help Master of Science (M.Sc.) Data Science students at Bir Tikendrajit University to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Bir Tikendrajit University syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Master of Science (M.Sc.) Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Bir Tikendrajit University offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Bir Tikendrajit University, Imphal East for latest Master of Science (M.Sc.) Data Science curriculum.

Master of Science in Data Science Syllabus

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
1Data Science Programming
2Data Mining and Warehousing
3Econometrics
4Construction Economy and Finance                                                                   
5Data Analytics Mathematics
6Computational Linear Algebra
7Data Analytics and Graphs
9Empirical Research
10Advanced-Data Analytics
11Inferential Statistics
12Stochastic Processes
13Optimization Techniques
14Software Engineering
15Software lab in Python

2nd Year OR 3rd and 4th Semester Syllabus of M.Sc in Data Science

S.NoSubjects
1Machine Learning
2Hadoop Programming                                                                                          
3Big Data Analytics
4Practicals


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