M.Sc. Data Science

A Degree in M.Sc. Data Science offers numerous career options.

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Best M.Sc. Data Science College in India

Uttaranchal University offers M.Sc. Data Science is an innovative program in the cusp field of computer science with Mathematics at the Postgraduate Level. The program content of this program is meticulously prepared to promote the application of Artificial intelligence, Machine learning and Data Analysis techniques to solve complex problems, industrial problems, physical problems, and in interdisciplinary environments. The curriculum comprises core courses, electives and discipline-specific electives.

Data Science is an interdisciplinary field that includes the domains of Computer Science, Mathematics & Statistics in which the main focus has been given on Data Base Management Systems with Artificial intelligence & Machine learning. M.Sc. Data Science is a two-year postgraduate program with four semesters. In this degree, candidates get a deeper knowledge of data analysis methods Big Data Analytics, Programming, Mathematics, Statistics, Artificial intelligence and Machine learning. The students become more skilled, efficient and specialized in a particular subject after the master’s degree program.

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Career Prospects:

Data Science is a rapidly expanding and important field of study, with an increasing number of jobs and opportunities within the Govt and public sectors. After perusing M.Sc. Data Science, students have career opportunities in the big data industries, computer science and IT industries, market research companies, energy sectors, academic & research institutes.

They can work as Research Scientists, Data Engineers, Data Analysts, Data Science Generalists, and Mathematical & Statistical Analysts with comparable perks to engineering graduates.

Globally

Comparable,

Flexible

and Choice

Based Academics

Globally

Comparable,

Flexible

and Conducive

Learning Environment

Eligibility & Fee Details

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M.Sc. Data Science

Uttarakhand Quota (Amount of fee details in INR)

Semester Heads (Graduation Aggreate%)
>=90.01
(1st Category)
(Graduation Aggreate%)
>=80.01 and <=90
(2nd Category)
(Graduation Aggreate%)
>=70.01 and <=80
(3rd Category)
(Graduation Aggreate%)
<=70
(4th Category)
1st Semester Academic Fee 50,700 50,700 50,700 50,700
Merit Scholarship 15,210 10,140 5,070 --
Net Academic Fee 35,490 40,560 45,630 50,700
Development Fee 4,056 4,056 4,056 4,056
Other Fee 25,150 25,150 25,150 25,150
1st Semester Fee 64,696 69,766 74,836 79,906
2nd Semester Academic Fee 50,700 50,700 50,700 50,700
Merit Scholarship 15,210 10,140 5,070 --
Net Academic Fee 35,490 40,560 45,630 50,700
Development Fee 4,056 4,056 4,056 4,056
Other Fee 9,150 9,150 9,150 9,150
2nd Semester Fee 48,696 53,766 58,836 63,906
Total Fee year wise inclusive of other charges

(1st Category) 

1,13,392

(2nd Category) 

1,23,532

(3rd Category) 

1,33,672

(4th Category) 

1,43,812

All India Quota (Amount of fee details in INR)

Semester Heads (Graduation Aggreate%)
>=90.01
(1st Category)
(Graduation Aggreate%)
>=80.01 and <=90
(2nd Category)
(Graduation Aggreate%)
>=70.01 and <=80
(3rd Category)
(Graduation Aggreate%)
<=70
(4th Category)
1st Semester Academic Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 12,000 6,000 -
Net Academic Fee 42,000 48,000 54,000 60,000
Development Fee 5,408 5,408 5,408 5,408
Other Fee 25,150 25,150 25,150 25,150
1st Semester Fee 72,558 78,558 84,558 90,558
2nd Semester Academic Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 7,600 7,600 7,600 7,600
Merit Scholarship 18,000 12,000 6,000 -
Net Academic Fee 42,000 48,000 54,000 60,000
Development Fee 5,408 5,408 5,408 5,408
Other Fee 9,150 9,150 9,150 9,150
2nd Semester Fee 56,558 62,558 68,558 74,558
Total Fee year wise inclusive of other charges

(1st Category) 

1,29,116

(2nd Category) 

1,41,116

(3rd Category) 

1,53,116

(4th Category) 

1,65,116

One Time Payable Charges in 1st Semester (INR)

Admission Fee Enrolment Fee Students Welfare Fee Caution Money
(Refundable after completion of programme)
6,000 2,000 6,000 2,000

Other Charges Per Semester (INR)

Examination Fee Library Fee Students ERP/ID Card Fee/Industrial Tour Fee/Activity Fee Online Student Information Fee Total
4,600 800 2,250 1,500 9,150

Optional Fee (INR)

Hostel & Mess Fee Single Bed Double Bed Triple Bed with Attached Bathroom (Only for Boys) Triple Bed Four Bed
Rent and other Fee per Academic Year 85,000 60,000 70,000 52,000 47,000
Mess Fee per Academic Year 40,500 40,500 40,500 40,500 40,500
Laundry Fee per Academic Year 2,500 2,500 2,500 2,500 2,500
Hostel Security Fee (Refundable after completion of the session) 2,000 2,000 2,000 2,000 2,000
Total Amount 1,30,000 1,05,000 1,15,000 97,000 92,000

Optional Fee (INR) / Flats Only For Girls

Hostel & Mess Fee Single Bed Double Bed Triple Bed Lobby (3 Seated) Lobby (4 Seated)
Rent and other Fee per Academic Year 90,000 80,000 70,000 65,000 50,000
Mess Fee per Academic Year 40,500 40,500 40,500 40,500 40,500
Laundry Fee per Academic Year 2,500 2,500 2,500 2,500 2,500
Hostel Security Fee (Refundable after completion of the session) 2,000 2,000 2,000 2,000 2,000
Total Amount 1,35,000 1,25,000 1,15,000 1,10,000 95,000

Optional Fee (INR)

Transportation Fee for Poanta Sahib Route per Academic Year (INR) 25,000
Transportation Fee for Doiwala/Nepali Farm/Rishikesh Routes per Academic Year (INR) 24,000
Transportation Fee for Other Routes per Academic Year (INR) 20,000

Eligibility

  • Graduation in any stream from a recognized University.
  • Minimum 50% aggregate marks for general or 45% aggregate marks in case of SC/ST category.

Note:

  • Only one choice of scholarship will be allowed to the candidate from the following:
    • 5% scholarship on Net Academic Fee (after merit scholarship) to Girl Candidate for complete programme.
    • 5% scholarship on Net Academic Fee (after merit scholarship) to ward of Defence Personnel for complete programme.
    • 10% scholarship on Net Academic Fee (after merit scholarship) to Alumni of Uttaranchal University (only in 1st year).
    • 10% scholarship on Net Academic Fee (after merit scholarship) to Sibling of Uttaranchal University (only in 1st year).
  • If any student deposits his/her complete yearly Fee, in that case additional scholarship of 5% on Net Academic Fee (after merit scholarship)will be provided for 1st year only.

Admission Procedure:

Programme Structure

Under Choice Based Credit System (CBCS)

Sr. No. Course Code Course Name Credits
1. TMDS-501 Foundations of Data Science 3
2. TMDS-502 Design Analysis of Algorithm 3
3. TMDS-503 Data Analytics with Python 3
4. TMDS-504 Cyber Security 3
5. TMDS-505 Mathematics for Data Science 3
6. PMDS-501 Foundations of Data Science Lab 1
7. PMDS-502 Design Analysis of Algorithm Lab 1
8. PMDS-503 Data Analytics with Python Lab 1
9. PMDS-504 Cyber Security Lab 1
10. PMDS-506 Scientific Activity (Seminar & Presentation) 1
Total Credits (Semester I) 20

Sr. No. Course Code Course Name Credits
1. TMDS-551 Software Engineering 3
2. TMDS-552 Advanced SQL 3
3. TMDS-553 Big Data Framework 3
4. TMDS-554 Software Testing 3
5. TMDS-555 Discipline Elective / MOOC / SWAYAM Courses 3
6. TMDS-556 Professional Communication Skills 3
7. PMDS-552 Advanced SQL Lab 1
8. PMDS-553 Big Data Analytics Lab 1
9. PMDS-557 Minor Project (Community Based) 1
Total Credits (Semester II) 21

Sr. No. Course Code Course Name Credits
1. TMDS-601 Data Mining 3
2. TMDS-602 Data Analytics with Pig and Hive 3
3. TMDS-603 Data Structure 3
4. TMDS-604 Deep Learning 3
5. TMDS-605 Open Elective / SWAYAM / MOOC 3
6. PMDS-601 Data Mining Lab 1
7. PMDS-602 Data Analytics with Pig and Hive Lab 1
8. PMDS-603 Data Structure Lab 1
9. PMDS-604 Deep Learning Lab 1
10. PMDS-606 Internship 2
Total Credits (Semester III) 21

Sr. No. Course Code Course Name Credits
1. TMDS-651 Neural Networks 3
2. TMDS-652 Theory of Computation 3
3. TMDS-653 Cloud Computing Fundamentals 3
4. TMDS-654 Research Methodology and Ethics 3
5. TMDS-655 IKS / SWAYAM / MOOC 3
6. PMDS-651 Neural Networks Lab 1
7. PMDS-656 Major Capstone Project 3
Total Credits (Semester IV) 19

Sr. No. Course Code Course Name Credits
1. TMDS-601 Data Mining 3
2. TMDS-602 Data Analytics with Pig and Hive 3
3. TMDS-603 Data Structure 3
4. TMDS-604 Deep Learning 3
5. TMDS-605 Open Elective / SWAYAM / MOOC 3
6. PMDS-601 Data Mining Lab 1
7. PMDS-602 Data Analytics with Pig and Hive Lab 1
8. PMDS-603 Data Structure Lab 1
9. PMDS-604 Deep Learning Lab 1
10. PMDS-606 Internship 2
Total Credits (Semester III) 21

Sr. No. Course Code Course Name Credits
1. TMDS-651 Neural Networks 3
2. TMDS-652 Theory of Computation 3
3. TMDS-653 Cloud Computing Fundamentals 3
4. TMDS-654 Research Methodology and Ethics 3
5. TMDS-655 IKS / SWAYAM / MOOC 3
6. PMDS-651 Neural Networks Lab 1
7. PMDS-656 Major Capstone Project 3
Total Credits (Semester IV) 19

Sr. No. Course Code Course Name Credits
DISCIPLINE ELECTIVE COURSES (Choose Any One)
1. TMDS-555 (1) Introduction to Artificial Intelligence 3
2. TMDS-555 (2) Internet of Things 3
3. TMDS-555 (3) Machine Learning and Deep Learning 3
4. TMDS-555 (4) Natural Language Processing 3
5. TMDS-555 (5) Statistical Methods Using R 3
OPEN ELECTIVE COURSES (Choose Any One)
1. TMDS-605 (1) Number Theory 3
2. TMDS-605 (2) Advanced Linear Algebra 3
3. TMDS-605 (3) Total Quality Management 3
4. TMDS-605 (4) Solid Waste Management and Techniques 3
5. TMDS-605 (5) Mathematical Modelling 3
INDIAN KNOWLEDGE SYSTEM (IKS) COURSES
1. TMDS-655 (i) Foundations of IKS in Modern Data Science 3
2. TMDS-655 (ii) Proud Indian History 3
*Any Other Course

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Why Join School of Applied and Life Sciences?

School of Applied and Life Sciences, a constituent institute of Uttaranchal University with an aim to prepare highly knowledgeable and more competent fraternities in the field of Applied and Life Sciences. The institution is committed to creating and grooming the students to deal with the demanding challenges in the various fields of School of Applied and Life Sciences at the National and International levels.

  • The campus is well conceptualized and planned.
  • The institute is abundantly enabled with the provision of rich resource center in the form of :
    • Centrally operated library
    • Modern laboratories
    • Experienced and well qualified faculty
    • Innovative teaching methodology.
  • We cherish the ideals of providing value-based technical education that would enable our students to achieve empowerment, problem solving skills, innovation and research.
  • Our special focus is on skill development and personality development through hands-on training, workshops, internships, project (dissertations), so that our students achieve excellence in their career.
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