BS (Data Science)

Introduction

The Department of Computer Science, in keeping with the needs of the modern education requirement in technology, is introducing a Bachelors in Data Science program. The BS (Data Science) has a dual emphasis on basic principles of statistics and computer science, with foundational training in statistical and mathematical aspects of data analysis. This program develops a foundation on broad computer science principles, including algorithms, data structures, data management and machine learning. This program will prepare graduates for a career in data analysis, combining foundational statistical concepts with computational principles from computer science.

OBJECTIVES

  1. Develop proficiency in programming languages used in data science.
  2. Develop strong mathematical and statistical skills to analyze data and draw insights from data.
  3. Learn to use data visualization tools and techniques to communicate insights effectively.
  4. Acquire knowledge of big data technologies and platforms for managing and processing large datasets.
  5. Develop an understanding of data ethics and privacy issues in data science.
  6. Learn to work with unstructured data such as text, images, and videos.

PROGRAM FEATURES

  1. The updated BS (DS) is a 133 credit hours program and may be completed in minimum four years (eight semesters).
  2. Two semesters are offered in a year, Spring and Autumn.
  3. Duration of each semester is 18 weeks.
  4. Program is In-line with HEC.

Eligibility Criteria

Minimum 50% marks in Intermediate/12 years schooling/A-Level (HSSC) or Equivalent with Mathematics are required for admission in BS(DS). Equivalency certificate by IBCC will be required in case of education from some other country or system. The students who have not studied Mathematics at intermediate level have to pass deficiency courses of Mathematics ((non-credit)) in first two semesters.

 

Selection Process

Open Merit

Duration

4 Years

Medium of Instruction

English

Teaching Methodology

The program is offered in Face-to-Face Mode in both main campus and regions.

Total Credits Hours Required

135

S#

Code

Course Title

Domain

Cr Hr

1

CS3504

Computer Programming

Core

4 (3+1)

2

CS3503

Applications of Information & Communication Technologies

GER

3 (2+1)

3

MATH3516

Discrete Mathematics

GER-QR1

3 (3+0)

4

MATH3502

Calculus-I

GER-QR2

3 (3+0)

5

ENGL3505

Functional English

GER

3 (3+0)
   

Total Credit Hours

  

16 (14+2)

S#

Code

Course Title

Domain

Cr Hr

1

CS3506

Object-Oriented Programming

Core

4 (3+1)

2

CS3507

Database Systems

Core

4 (3+1)

3

CS3508

Digital Logic Design

Core

3 (2+1)

4

MATH3509

Calculus-II

Maths

3 (3+0)

5

MATH3512

Linear Algebra

Maths

3 (3+0)
   

Total Credit Hours

  

17 (14+3)

S#

Code

Course Title

Domain

Cr Hr

1

CS4521

Data Structures and Algorithms

Core

4 (3+1)

2

CS4522

Information Security

Core

3 (2+1)

3

CS4523

Artificial Intelligence

Core

3 (2+1)

4

CS4524

Computer Networks

Core

3 (2+1)

5

CS4525

Software Engineering

Core

3 (3+0)

6

STAT4509

Statistics & Probability

Maths

3 (3+0)
   

Total Credit Hours

  

19 (15+4)

S#

Code

Course Title

Domain

Cr Hr

1

CS4526

Computer Organization & Assembly Language

Core

3 (2+1)

2

CS4529

Introduction to Data Science

Core

3 (2+1)

3

CS4530

Advanced Statistics

Core

3 (2+1)

4

PHY4509

Applied Physics

GER

3 (2+1)

5

ENGL3504

Expository Writing

GER

3 (3+0)

6

ITHC3501 / HADH3501

Islamic Studies / Ethics

GER

2 (2+0)

7

PKST3501

Pakistan Studies

GER

2 (2+0)
   

Total Credit Hours

  

19 (15+4)

S#

Code

Course Title

Domain / Category

Cr Hr

1

CS5502

Operating Systems

Core

3 (2+1)

2

STAT6511

Data Mining

Domain Elective

3 (2+1)

3

CS6514

Data Visualization

Domain Elective

3 (2+1)

4

CS6502

Analysis and Design of Algorithms

Core

3 (3+0)

5

—

Domain Elective I

Domain Elective

3 (2+1)

6

MGT3504

Introduction to Management

GER

2 (2+0)

7

TFSR3501

Fahm-e-Quran (Tajwid, Translation and Tafsir)

Non-Credit

(NC)
   

Total Credit Hours

  

17 (13+4)

S#

Code

Course Title

Category / Domain

Cr Hr

1

CS6513

Data Warehousing & Business Intelligence

Domain Elective

3 (2+1)

2

CS5506

Parallel & Distributed Computing

Domain Elective

3 (2+1)

3

—

Domain Elective II

Domain Elective

3 (2+1)

4

—

Domain Elective III

Domain Elective

3 (2+1)

5

—

Domain Elective IV

Domain Elective

3 (2+1)

6

—

Domain Elective V

Domain Elective

3 (2+1)

7

SERT3501

Seerat-e-Tayyaba

Non-Credit

(NC)
   

Total Credit Hours

  

18 (12+6)

S#

Code

Course Title

Category / Domain

Cr Hr

1

CS6501

Final Year Project – I

Core

2 (0+2)

2

—

Domain Elective VI

Domain Elective

3 (2+1)

3

—

Domain Elective VII

Domain Elective

3 (2+1)

4

CS6503

IT Marketing Concepts

Social Sciences (SS)

3 (3+0)

5

ENGL3503

Technical & Business Writing

Maths & Support

3 (3+0)

6

MGT3503

Entrepreneurship

GER

2 (2+0)

7

CS6507

Internship

Practical / Non-Core

3 (0+3)
   

Total Credit Hours

  

19 (12+7)

S#

Code

Course Title

Category / Domain

Cr Hr

1

CS6504

Final Year Project – II

Core

4 (0+4)

2

PKST3502

Ideology and Constitution of Pakistan

GER

2 (2+0)

3

CS6506

Professional Practices

GER

2 (2+0)

4

SOC3503

Civics and Community Engagement

GER

2 (2+0)
   

Total Credit Hours

  

10 (6+4)

Elective / Major Courses:

S#

Code

Course Title

Cr. Hrs.
Domain Elective 01

1

CS5521

Big Data Analytics

3 (2+1)
   

Subtotal

3 (2+1)
Domain Elective 02–05

1

CS5501

Machine Learning

3 (2+1)

2

CS6514

Artificial Neural Networks & Deep Learning

3 (2+1)

3

CS4527

Theory of Automata

3 (2+1)

4

CS6512

Human-Computer Interaction

3 (2+1)
   

Subtotal

12 (8+4)
Domain Elective 06–07

1

CS4528

Advanced Database Management Systems

3 (2+1)

2

CS6515

Topics in Data Science

3 (2+1)
   

Subtotal

6 (4+2)

2

3

4

5

6

Semesters

08

Assessment Weightage

For Theory Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Assignment 10 20% 50% (In aggregate)
2 Assignment 2 10
3 Mid Term 30 30%
4 Attendance 100 Nil 70%
5 Final Exam 100 50% 50%
For Theory-Practical Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Assignment 10 20% 50% (In aggregate)
2 Assignment 2 10
3 Mid Term 30 30%
4 Practical 15
5 Attendance 100 Nil 70%
6 Final Exam 100 50% 50%
For Practical/FYP Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Attendance 100 Nil 70%
2 Final Exam 100 100% 50%

Note: Allama Iqbal Open University (AIOU) reserves the right to amend the fee structure policy, course offering and assessment of courses when required. The existing course(s) will be adopted/adapted as per requirement. The department may change the sequence of the course(s) offering as per availability of course(s).

About

The Allama Iqbal Open University was established in May, 1974, with the main objectives of providing educational opportunities to masses and to those who cannot leave their homes and jobs. During all these past years, the University has more than fulfilled this promise.