Master of Science [M.Sc] (Data Science and Analytics) From NSHM Knowledge Campus, Kolkata

Kolkata, West BengalEstd 1996 MAKAUT, Nadia NAAC Grade

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Master of Science [M.Sc] (Data Science and Analytics)

first year fees: ₹141,250

4.52 YearsFull Time

Years	year 1		year 2
Semester	1	2	3	4
Tution fees	₹70625	₹70625	₹70625	₹70625
Total Year Wise fees	₹1.41 Lakhs		₹1.41 Lakhs

Written By Collegedunia Team

Eligibility Criteria

Candidate must have passed graduation in STEM subjects (Science, Technology, Engineering and Mathematics), Economics/Statistics also preferred.

Master of Science [M.Sc] (Data Science and Analytics) Comparison

	NSHM Knowledge Campus, Kolkata
Reviews Rating	4.5/5 (1 Users)
Cost To Study	Total Fees ₹282500 (2 Years ) Check Detailed Fees
Ranking	-
Highest Salary	₹1200000
Average Salary	₹580000
General Course Details	Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree Check Course Details
Eligibility	Graduation

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Why To Join NSHM Knowledge Campus - Reviews & Rating

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4.2

Faculty

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Comprehensive Review of NSHM Knowledge Campus

4.5Helpful

Likes

Quality of Faculty: Experienced and knowledgeable faculty members. Campus Life: Vibrant and engaging with various clubs and events. Placement Opportunities: Strong placement support for career prospects.
Infrastructure: Modern facilities and well-equipped classrooms. Course Content: Relevant and up-to-date curriculum in data science.

Dislikes

Tuition Costs: High tuition fees might be a drawback for some. Classroom Size: Overcrowded classrooms could affect the learning experience.
Administrative Processes: Complex administrative procedures might be a hassle. Limited Scholarships: Limited financial assistance options for students.

Course Curriculum Overview:

Course Curriculum: The course curriculum should cover a wide range of relevant topics in data science and analytics. It should include theoretical concepts, practical applications, and industry-related projects. Real-world case studies and the integration of the latest tools and technologies are essential. Reason for Choosing the Course: You might choose a data science and analytics course for its relevance in the job market, the opportunity to work with data or your interest in the field. Faculty: Faculty members should ideally have strong academic backgrounds and industry experience in data science. A lower faculty-to-student ratio often allows for more personalized attention. Teaching Methods: Effective teaching methods might involve a combination of lectures, practical exercises, and hands-on projects. Faculty should be approachable, engaging, and responsive to students' needs. Timeliness of Exams: Timely term exams and result publication are crucial for smooth.