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