The Master of Technology (M.Tech.) Data Science syllabus at The Global University, Itanagar is designed to provide overall knowledge to the students with a strong foundation. Master of Technology (M.Tech.) Data Science faculty at The Global University specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Technology (M.Tech.) Data Science at The Global University, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Technology (M.Tech.) Data Science syllabus at The Global University, Itanagar maintains a balance between theoretical knowledge and practical knowledge.
Master of Technology (M.Tech.) Data Science first year students at The Global University are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. The Global University, Itanagar also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Technology (M.Tech.) Data Science syllabus at The Global University, Itanagar is also frequently updated to give industry relevant training and knowledge to students. The Global University strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at The Global University enable Master of Technology (M.Tech.) Data Science students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Master of Technology (M.Tech.) Data Science progress, students learn advanced topics and complex concepts. The Master of Technology (M.Tech.) Data Science curriculum at The Global University, Itanagar mainly focuses on analytical and critical thinking. As the Master of Technology (M.Tech.) Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Technology (M.Tech.) Data Science at The Global University also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Master of Technology (M.Tech.) Data Science curriculum at The Global University includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Technology (M.Tech.) Data Science syllabus at The Global University aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at The Global University
Note: Given below syllabus is based on the available web sources. Please verify with the The Global University, Itanagar for latest Master of Technology (M.Tech.) Data Science curriculum.
S.No |
1st Year Syllabus of M.Tech. in Data Science |
1 | Data Science Programming |
2 | Data Mining and Warehousing |
3 | Econometrics |
4 | Construction Economy and Finance |
5 | Data Analytics Mathematics |
6 | Laboratory |
7 | Data Analytics and Graphs |
9 | Empirical Research |
10 | Advanced-Data Analytics |
11 | Big Data |
12 | Project |
13 | Laboratory |
S.No |
2nd Year Syllabus of M.Tech. in Data Science |
1 | Project |
2 | Evaluation of project and Viva |
3 | Seminar |
4 | Training and Internship |