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B.Sc.Data Science

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Best B.Sc.Data Science College in India

Uttaranchal University offers B.Sc. Data Science, is an innovative undergraduate degree program that includes the domains of Computer Science, Mathematics & Statistics. B.Sc. Data Science Program at UU offers students a firm foundation in computing and specialization in cutting-edge technologies where the candidates are taught about various aspects concerning inspection, cleansing, transformation, and remodeling of the data to extract useful information The content of this program is meticulously prepared to promote the knowledge of Information Technology along with Computational Mathematics, DBMS, & Analytics techniques to solve complex problems, industrial problems, physical problems, and in interdisciplinary environments.

B.Sc. Data Science is a three-year undergraduate program with six semesters. In this degree, candidates get a deeper knowledge of data science, data analysis methods, Big Data Analytics, Programming, computational Mathematics, Statistics, Artificial intelligence and Machine learning. The students become more skilled, efficient and specialized in a particular subject after this program. The curriculum comprises core courses, open electives and discipline-specific electives.

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Career Prospects:

Graduating with Data Science is rapidly demanding in almost all types of Industries and educational institutes. There are increasing numbers of jobs and opportunities within the private and public sectors. After perusing B.Sc. Data Science, students have career opportunities in the data Analysis industries, Banking & Financial Services, computer science and IT industry, consultancy services, market research companies, energy sectors, academic & research institutes. They can work as Data Analysts, Data Engineers, Data Scientists, Data Architects and Administrators, Machine learning engineers, Mathematical & Statistical analysts & Research Scientists in industries and Academia.

Globally

Comparable,

Flexible

and Choice

Based Academics

Globally

Comparable,

Flexible

and Conducive

Learning Environment

Eligibility & Fee Details

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B.Sc. Data Science

Uttarakhand Quota (Amount of fee details in INR)

Semester Heads (12th Aggregate%)
>=90.01
(1st Category)		 (12th Aggregate%)
>=80.01 and <=90
(2nd Category)		 (12th Aggregate%)
>=70.01 and <=80
(3rd Category)		 (12th Aggregate%)
<=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 (12th Aggregate%)
>=90.01
(1st Category)		 (12th Aggregate%)
>=80.01 and <=90
(2nd Category)		 (12th Aggregate%)
>=70.01 and <=80
(3rd Category)		 (12th Aggregate%)
<=70
(4th Category)
1st Semester Academic Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 12,600 12,600 12,600 12,600
Merit Scholarship 16,500 11,000 5,500 -
Net Academic Fee 38,500 44,000 49,500 55,000
Development Fee 5,408 5,408 5,408 5,408
Other Fee 25,150 25,150 25,150 25,150
1st Semester Fee 69,058 74,558 80,058 85,558
2nd Semester Academic Fee 67,600 67,600 67,600 67,600
Students Diversity Scholarship 12,600 12,600 12,600 12,600
Merit Scholarship 16,500 11,000 5,500 -
Net Academic Fee 38,500 44,000 49,500 55,000
Development Fee 5,408 5,408 5,408 5,408
Other Fee 9,150 9,150 9,150 9,150
2nd Semester Fee 53,058 58,558 64,058 69,558
Total Fee year wise inclusive of other charges

(1st Category) 

1,22,116

(2nd Category) 

1,33,116

(3rd Category) 

1,44,116

(4th Category) 

1,55,116

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

  • Passed 10+2 examination from a recognized Board of School Education or equivalent.
  • Minimum 50% aggregate marks for general and 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. TBDS / PBDS-101 Programming in C, Programming in C Lab 4
2. TBDS-102 Minor-1 4
3. TBDS-103 MDC 3
4. TBDS-104 Basic Technical Writing Skills / Any Other Languages 2
5. TBDS / PBDS-105 Database Management System, Database Management System Lab 4
6. TBDS-106 Environmental Science 3
7. PBDS-107 Scientific Activity / Seminar / Project 1
Total Credits (Semester I) 21

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-151 Introduction to Data Science, Advanced Excel Lab 4
2. TBDS-152 Minor-2 4
3. TBDS-153 Accountancy / Financial Management 3
4. TBDS-154 Advanced Technical Communication Skills / Personality Development Program 2
5. TBDS / PBDS-155 Fundamentals of Python Programming, Fundamentals of Python Programming Lab 3
6. TBDS-156 Human Ethics and Professional Values / Yoga / Sports / MOOC / SWAYAM 3
Total Credits (Semester II) 20

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-201 Data Structure & Algorithm, Data Structure & Algorithm Lab 4
2. TBDS / PBDS-202 Advanced Programming in Python, Advanced Programming in Python Lab 4
3. TBDS-203 Minor-3 4
4. TBDS-204 Cyber Crime / Essence of Indian Scriptures: Vedas and Puranas 3
5. TBDS / PBDS-205 Android Programming, Android Programming Lab / Web Development using PHP, Web Development using PHP Lab 4
6. TBDS-206 Conference / Workshop Activity 1
Total Credits (Semester III) 20

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-251 Artificial Intelligence, Artificial Intelligence Lab 4
2. TBDS / PBDS-252 Introduction to Generative AI, Introduction to Generative AI Lab 4
3. TBDS / PBDS-253 Fundamentals of Machine Learning, Fundamentals of Machine Learning Lab 4
4. TBDS-254 Minor-4 4
5. TBDS / PBDS-255 Data Visualizations, Data Visualizations Lab 4
6. TBDS-256 Vedic Mathematics 2
Total Credits (Semester IV) 22

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-301 Advanced Machine Learning, Advanced Machine Learning Lab 4
2. TBDS / PBDS-302 Deep Learning, Deep Learning Lab 4
3. TBDS / PBDS-303 Natural Language Processing, Natural Language Processing Lab 4
4. TBDS-304 Minor-5 4
5. TBDS-305 Quantitative Aptitude and Reasoning Skills 3
6. PBDS-306 Internship 2
7. PBDS-307 Seminar / NSS / NCC / Conference 1
Total Credits (Semester V) 22

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-351 Data Analytics using R, R Lab 4
2. TBDS-352 Big Data 3
3. TBDS-353 Optimization Techniques 3
4. TBDS-354 Internet of Things (IoT) 3
5. TBDS-355 Minor-6 4
6. PBDS-356 Community Based Project 2
Total Credits (Semester VI) 19

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-401 Design and Analysis of Algorithm, Design and Analysis of Algorithm Lab 4
2. TBDS / PBDS-402 Operating Systems, Operating Systems Lab 4
3. TBDS / PBDS-403 Introduction to Vibe Coding, Introduction to Vibe Coding Lab 4
4. TBDS-404 Minor-7 4
5. TBDS-405 Actuarial Science 3
6. PBDS-406 Internship 3
Total Credits (Semester VII) 22

Sr. No. Course Code Course Name Credits
1. TBDS / PBDS-451 Software Engineering, Software Engineering Lab 4
2. TBDS / PBDS-452 Software Testing, Software Testing Lab 4
3. TBDS-453 Minor-8 4
4. PBDS-454 Dissertation / Project / Presentation 6
Total Credits (Semester VIII) 18

Sr. No. Course Code Course Name Credits
1. TBDSR / PBDSR-401 Design and Analysis of Algorithm, Design and Analysis of Algorithm Lab 4
2. TBDSR / PBDSR-402 Operating Systems, Operating System Lab 4
3. TBDSR / PBDS-403 Software Engineering, Software Engineering Lab 4
4. TBDSR / PBDS-404 Foundation of Quantum Computing, Foundation of Quantum Computing Lab 4
5. TBDSR-405 Minor-7 4
6. TBDSR-406 IPR 3
Total Credits (Semester VII) 23

Sr. No. Course Code Course Name Credits
1. TBDSR-451 Research Methodology and Ethics 3
2. TBDSR / PBDSR-452 Computer Vision, Computer Vision Lab 4
3. TBDSR-453 Minor-8 4
4. PBDSR-454 Research Project 8
Total Credits (Semester VIII) 19

Sr. No. Course Code Course Name Credits
(A) Mathematics Discipline
1. TBDS-102(A) Linear Algebra 4
2. TBDS-152(A) Probability and Statistics 4
3. TBDS-203(A) Calculus 4
4. TBDS-254(A) Numerical Techniques 4
5. TBDS-304(A) Statistical Data Analysis 4
6. TBDS-355(A) Graph Theory 4
7. TBDS-404(A) Ordinary Differential Equations 4
8. TBDS-453(A) Discrete Mathematical Foundations 4
(B) Physics Discipline
1. TBDS-102(B) Electricity and Magnetism 4
2. TBDS-152(B) Elements of Modern Physics 4
3. TBDS-203(B) Digital Electronics 4
4. TBDS-403(B) Data Acquisition and Processing 4
(C) Management Discipline
1. TBDS-254(C) Project Management 4
2. TBDS-303(C) Digital Marketing 4
3. TBDS-354(C) Business Intelligence 4
4. TBDS-453(C) Organizational Behaviour 4

Sr. No. Course Code Course Name Credits
1. TBDS-104(1) Basic Technical Writing Skills 2
TBDS-104(2) Sanskrit / Hindi / French / German / Any Other Language 2
2. TBDS-154(1) Advanced Technical Communication Skills 2
TBDS-154(2) Personality Development Program 2
3. TBDS-256 Vedic Mathematics 2
4. TBDS-305 Quantitative Aptitude and Reasoning Skills 2

Sr. No. Course Code Course Name Credits
1 TBDS-106 Environment Science 3
2 TBDS-156(1) Human Ethics and Professional values 3
TBDS-156(2) Yoga/Sports/ Community based Project/MOOC/SWAYAM

Sr. No. Course Code Course Name Credits
1. TBDS-105 Database Management System 3
PBDS-105 Database Management System Lab 1
2. TBDS-155 Fundamentals of Python Programming 3
PBDS-155 Fundamentals of Python Programming Lab 1
3. TBDS-205(1) Android Programming 3
PBDS-205(1) Android Programming Lab 1
TBDS-205(2) Web Development with PHP 3
PBDS-205(2) Web Development with PHP Lab 1
4. TBDS-255(1) Data Visualizations 3
PBDS-255(1) Data Visualizations Lab 1

Sr. No. Course Code Course Name Credits
1. TBDS-103(1) History of India 3
TBDS-103(2) Introduction to Indian Constitution 3
2. TBDS-153(1) Accountancy 3
TBDS-153(2) Financial Management 3
3. TBDS-204(1) Cyber Crime 3
TBDS-204(2) Essence of Indian Scriptures: Vedas and Puranas 3
4. TBDS-405 Actuarial Science 3

Sr. No. Course Type Course Code Course Name
1. Activity PBDS-107 Scientific Activity / Seminar / Project
2. Activity PBDS-206 Conference / Workshop Activity
3. Activity PBDS-307 Seminar / NSS / NCC / Conference

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4-year UG Degree (Honours)

S. No.

Broad Category of Course

Minimum Credit  Requirement

 

 

3-year UG

4-Year UG

1

Major (Core)

60

80

2

Minor Stream

24

32

3

Multidisciplinary

09

09

4

Ability Enhancement Courses (AEC)

08

08

5

Skill Enhancement Courses (SEC)

09

09

6

Value Added Courses common for all UG

06-08

06–08

7

Summer Internship

02-04

02–04

8

Research Project / Dissertation

-

12

 

Total

120

160

Note:* Honours students not undertaking research will do 3 courses for 12 credits in lieu of a research project / Dissertation.

4-year UG Degree (Honours with Research): Students who secure 75% marks and above in the first six semesters and wish to undertake research at the undergraduate level can choose a research stream in the fourth year. They should do a research project or dissertation under the guidance of a faculty member of the University/College. The research project/dissertation will be in the major discipline. The students who secure 160 credits, including 12 credits from a research project/dissertation, are awarded UG Degree (Honours with Research).

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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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