The Master of Technology (M.Tech.) Data Science syllabus at JNTUH School of Information Technology (JNTUH-SIT), Hyderabad is designed to provide overall knowledge to the students with a strong foundation. Master of Technology (M.Tech.) Data Science faculty at JNTUH School of Information Technology (JNTUH-SIT) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Technology (M.Tech.) Data Science at JNTUH School of Information Technology (JNTUH-SIT), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Technology (M.Tech.) Data Science syllabus at JNTUH School of Information Technology (JNTUH-SIT), Hyderabad maintains a balance between theoretical knowledge and practical knowledge.
Master of Technology (M.Tech.) Data Science first year students at JNTUH School of Information Technology (JNTUH-SIT) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. JNTUH School of Information Technology (JNTUH-SIT), Hyderabad also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Technology (M.Tech.) Data Science syllabus at JNTUH School of Information Technology (JNTUH-SIT), Hyderabad is also frequently updated to give industry relevant training and knowledge to students. JNTUH School of Information Technology (JNTUH-SIT) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at JNTUH School of Information Technology (JNTUH-SIT) 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 JNTUH School of Information Technology (JNTUH-SIT), Hyderabad 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 JNTUH School of Information Technology (JNTUH-SIT) 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 JNTUH School of Information Technology (JNTUH-SIT) 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 JNTUH School of Information Technology (JNTUH-SIT) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at JNTUH School of Information Technology (JNTUH-SIT)
Note: Given below syllabus is based on the available web sources. Please verify with the JNTUH School of Information Technology (JNTUH-SIT), Hyderabad 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 |
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