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