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NSHM Knowledge Campus, Kolkata - Course & Fees Details

Kolkata, West BengalEstd 2006

#54 For Overall By TOI 2021

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Courses Offered By NSHM Knowledge Campus 2024

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Bachelor of Pharmacy [B.Pharma]

Total Fees:₹420,400

4 YearsFull Time

Eligibility:

10+2 with 45%

Bachelor of Science [B.Sc]

Total Fees:₹262,500

12 Courses3 YearsFull Time

Eligibility:

10+2

Master of Science [M.Sc]

Total Fees:₹162,500

12 Courses2 YearsFull Time

Eligibility:

Graduation

Bachelor of Business Administration [BBA]

Total Fees:₹312,500

7 Courses3 YearsFull Time

Eligibility:

10+2

Master in Hospital Administration [MHA]

Total Fees:₹412,500

1 Courses2 YearsFull Time

Eligibility:

Graduation

Bachelor of Computer Applications [BCA]

Total Fees:₹362,500

1 Courses3 YearsFull Time

Eligibility:

10+2

Master of Pharmacy [M.Pharma]

Total Fees:₹462,500

2 Courses2 YearsFull Time

Eligibility:

B.Pharma with 55%

Bachelor of Optometry [B.Optom]

Total Fees:₹437,500

4 YearsFull Time

Eligibility:

10+2

Master of Public Health [MPH]

Total Fees:₹287,500

1 Courses2 YearsFull Time

Eligibility:

Graduation

Master of Tourism and Travel Management

Total Fees:₹262,500

2 YearsFull Time

Eligibility:

Graduation

Bachelor of Pharmacy [B.Pharma] {Lateral}

Total Fees:₹314,500

3 YearsFull Time

Eligibility:

Diploma

Master of Optometry [M.Optom]

Total Fees:₹287,500

2 YearsFull Time

Eligibility:

B.Optom

Master of Business Administration [MBA]

Total Fees:₹668,000

7 Courses2 YearsFull Time

Eligibility:

Graduation

Executive Master of Business Administration [EMBA]

Total Fees:₹375,000

2 YearsFull Time

Eligibility:

Graduation

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NSHM Knowledge Campus, Durgapur	₹88000

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Comprehensive Review of NSHM Knowledge Campus

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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.