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Maulana Abul Kalam Azad University of Technology - [MAKAUT], Kolkata - Course & Fees Details

Kolkata, West BengalState UniversityEstd 2001

#151-200 For Overall By NIRF 2021

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3.7

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Courses Offered By MAKAUT 2024

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Master of Science [M.Sc] (Forensic Sciences)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Biotechnology)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Computer Science)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Microbiology)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Food Science and Technology)

1st Yr Fees:₹70,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Applied Chemistry)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Bioinformatics)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Genetics)

1st Yr Fees:₹56,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Applied Mathematics)

1st Yr Fees:₹60,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Environmental Science)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Media Science)

1st Yr Fees:₹80,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Molecular Biology)

1st Yr Fees:₹56,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Human Computing and Artifical Intelligence)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Film Design and TV Production)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Materials Science)

1st Yr Fees:₹80,300

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Information Science)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Artificial Intelligence)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Cyber Security)

2 Years YearsFull Time

Eligibility:

Graduation

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

2 Years YearsFull Time

Eligibility:

Graduation

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

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Applied Psychology)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Applied Economics)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Food Science and Nutrition)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Clinical Psychology)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Fashion Management)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Hospitality Management)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Information and Cyber Security)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Yoga)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Medical Imaging Technology)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Medical Lab Technology)

2 Years YearsFull Time

Eligibility:

Graduation

Master of Science [M.Sc] (Animation and Graphic Design)

2 Years YearsFull Time

Eligibility:

Graduation

*Estimated Fees, Official Verification is Pending

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Why To Join MAKAUT - Reviews & Rating

3.7

(153 Verified Reviews)

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5(54%)

4(36%)

3(10%)

2(0%)

1(0%)

Academic

4.0

Infrastructure

3.9

Accommodation

3.2

Placement

3.9

Comprehensive Review of NSHM Knowledge Campus

4.5Helpful

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.