BS (Data Science) ODL- With Deficiency Course

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) ODL 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.

Program 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.

 

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

Admission will be given to all candidates satisfying the eligibility and merit criteria, subject to a viable group of students.

Duration

4 Years

Medium of Instruction

English

Teaching Methodology

Open Distance Learning

Total Credits Hours Required

142

S#

Code

Course Title

Domain

Cr Hr

1

CS3002

Computer Programming

Core

4 (3+1)

2

CS3003

Applications of Information & Communication Technologies

GER

3 (2+1)

3

MATH3005

Discrete Mathematics

GER-QR1

3 (3+0)

4

MATH3004

Calculus-I

GER-QR2

3 (3+0)

5

ENGL3001

Functional English

GER

3 (3+0)

6

MATH3001

Pre-Calculus-I

N/C

–
   

Total

  

16 (14+2)

S#

Code

Course Title

Domain

Cr Hr

1

CS3004

Object Oriented Programming

Core

4 (3+1)

2

CS3005

Database Systems

Core

4 (3+1)

3

CS3006

Digital Logic Design

Core

3 (2+1)

4

MATH3006

Calculus-II

Maths

3 (3+0)

5

MATH3007

Linear Algebra

Maths

3 (3+0)

6

MATH3003

Pre-Calculus-II

N/C

–
   

Total

  

17 (14+3)

S#

Code

Course Title

Domain

Cr Hr

1

CS4001

Data Structures and Algorithms

Core

4 (3+1)

2

CS4002

Information Security

Core

3 (2+1)

3

CS4003

Artificial Intelligence

Core

3 (2+1)

4

CS4004

Computer Networks

Core

3 (2+1)

5

CS4005

Software Engineering

Core

3 (3+0)

6

STAT4001

Statistics & Probability

Maths

3 (3+0)
   

Total

  

19 (15+4)

S#

Code

Course Title

Domain

Cr Hr

1

CS4006

Computer Organization & Assembly Language

Core

3 (2+1)

2

CS4007

Introduction to Data Science

Domain Core

3 (2+1)

3

CS4008

Advanced Statistics

Domain Core

3 (2+1)

4

PHY4001

Applied Physics

GER

3 (2+1)

5

ENGL3002

Expository Writing

GER

3 (3+0)

6

ITHC3009 / HADH3008

Islamic Studies / Ethics

GER

3 (3+0)

7

PKST3002

Pakistan Studies

–

3 (3+0)
   

Total

  

21 (17+4)

S#

Code

Course Title

Domain

Cr Hr

1

CS5001

Operating Systems

Core

3 (2+1)

2

CS5002

Data Mining

Domain Core

3 (2+1)

3

CS5003

Data Visualization

Domain Core

3 (2+1)

4

CS5004

Analysis and Design of Algorithms

Core

3 (3+0)

5

CS5005

Big Data Analytics

Dom Elective 1

3 (2+1)

6

MGT3001

Introduction to Management

GER

3 (3+0)

7

TFSR3001

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

N/C

–
   

Total

  

18 (14+4)

S#

Code

Course Title

Domain

Cr Hr

1

CS5006

Data Warehousing & Business Intelligence

Domain Core

3 (2+1)

2

CS5007

Parallel & Distributed Computing

Domain Core

3 (2+1)

3

CS5008

Machine Learning

Dom Elective 2

3 (2+1)

4

CS5009

Artificial Neural Networks & Deep Learning

Dom Elective 3

3 (2+1)

5

CS5010

Theory of Automata

Dom Elective 4

3 (2+1)

6

CS5011

Human Computer Interaction

Dom Elective 5

3 (2+1)

7

SERT3001

Seerat-e-Tayyaba

N/C

–
   

Total

  

18 (12+6)

S#

Code

Course Title

Domain

Cr Hr

1

CS6001

Final Year Project – I

Core

2 (0+2)

2

CS6002

Advanced Database Management Systems

Dom Elective 6

3 (2+1)

3

CS6003

Topics in Data Science

Dom Elective 7

3 (2+1)

4

CS6004

IT Marketing Concepts

SS

3 (3+0)

5

ENGL3003

Technical & Business Writing

GER

3 (3+0)

6

MGT3002

Entrepreneurship

GER

3 (3+0)

7

CS6005

Internship

–

3 (0+3)
   

Total

  

20 (13+7)

S#

Code

Course Title

Domain

Cr Hr

1

CS6006

Final Year Project – II

Core

4 (0+4)

2

PKST3001

Ideology and Constitution of Pakistan

GER

3 (3+0)

3

CS6007

Professional Practices

GER

3 (3+0)

4

SOC3001

Civics and Community Engagement

GER

3 (3+0)
   

Total

  

13 (9+4)

Elective / Major Courses:

Data Science Core– Course Contents

Sr. No

Code

Course Title

Domain

Cr Hr

1

New

Advanced Statistics

Data Science Core

3 (3+0)

2

New

Big Data Analytics

Data Science Core

3 (2+1)

3

New

Data Mining

Data Science Core

3 (2+1)

4

New

Data Visualization

Data Science Core

3 (2+1)

5

New

Data Warehousing and Business Intelligence

Data Science Core

3 (2+1)

6

New

Introduction to Data Science

Data Science Core

3 (2+1)
   

Total

  

18 (14+4)

Data Science Elective– Course Content

Sr. No

Code

Course Title

Domain

Cr Hr

1

New

Advanced Database Management Systems

Data Science Elective

3 (2+1)

2

New

Big Data Analytics

Data Science Elective

3 (2+1)

3

New

Machine Learning

Data Science Elective

3 (2+1)

4

New

Artificial Neural Networks & Deep Learning

Data Science Elective

3 (2+1)

5

New

Theory of Automata

Data Science Elective

3 (3+0)

6

New

HCI & Computer Graphics

Data Science Elective

3 (2+1)

7

New

Topics in Data Science

Data Science Elective

3 (2+1)
   

Total

  

21 (16+5)

 

 

2

3

4

5

Semesters

08

Workshop

The online workshop for each course will comprise of 12 hours, with 2 hours daily for 6 days except for the teaching practice and project as per AIOU policy. Each semester will have a workshop for the courses offered in that particular semester. There will be an online quiz for every course at the end of the workshop.

Assessment Weightage

Assignments (Weightage) Workshop (Attendance & Quizzes) (Weightage) Final Exam (Weightage) Passing Marks 
20% 30% Quiz 50% 50% (in aggregate). However, 40% marks in final exams is mandatory.

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.