Curriculum:

OBJECTIVES OF THE PROGRAM

The last couple of decades have seen tremendous advancement in artificial intelligence, communications and robotics which is impacting every aspect of our daily life. It is because of these developments that a recent World Economic Forum report on the jobs landscape in 2022 suggests that out of the ten most demanding jobs, seven would be performed by CS/IT graduates. Within these jobs, the focus has been shifting towards the field of Data Science/Artificial Intelligence which is reflected by the fact that the top 2 emerging jobs belong to this category. Phrases like "AI is in the new electricity" or "Data is the new oil" have become new mantras.

It is expected that MS (Data Science) graduates from IBA would not only be hired by the software industry but they would also be well-placed in many service sectors including but not limited to financial institutions, telecommunication organizations, healthcare providers and multi-nationals.

CURRICULUM OF THE PROGRAM
*BS (CS) graduates are exempted from the foundation courses. For other candidates, the interview panel will decide which foundation courses are exempted.
**Students have option to take 1 additional course and an MS Research Project in place of MS Thesis.

Course Category

Courses

Credit Hour

Foundation Courses

3

9

Core Courses

3

9

Electives

5

15

Thesis

1

6


Foundation Courses

(for Students with non-CS background)

Credit Hours

Pre-requisites

Introduction to Algorithms

3

 

Database Management

3

 

Application Development

3

 

 

Core Courses

Credit Hours

Pre-requisites

Mathematics for Data Science

3

 

Machine Learning - I (Supervised Learning)

3

 

Big Data Analytics

3

 

MS Project or Thesis

3

Completion of 21 credit hours

 

ELECTIVES (More courses may be added to this list)

Credit Hours

Pre-requisites

Text Analytics

3

 

Computer Vision

3

 

Information Retrieval

3

 

Computational Intelligence

3

 

Probabilistic Reasoning

3

 

Deep Learning for IOT

3

 

Social Network Analysis

3

 

Business Intelligence

3

 

Deep Learning

3

 

Machine Learning-II (Unsupervised Learning)

3

 


DURATION OF THE PROGRAM AND SEMESTER WISE BREAKUP OF WORKLOAD/CREDIT HOUR

The Masters in Data Science program is a program with a total of 4 semesters with a total of 30 credit hours. The semester wise breakup along with credit hours is provided below.
*BS (CS / SE / IT) graduates are exempted from the foundation courses. For other candidates, the interview panel will decide which foundation courses are exempted.
**Students have the option to take 1 additional course and an MS Research Project in place of MS Thesis.

Semester 0

Course

Credit hours

Introduction to Algorithms

3

Database Management

3

Application Development

3

 

Semester 1

Course

Credit hours

Mathematics for Data Science

3

Machine Learning - I (Supervised Learning)

3

Big Data Analytics

3

 

Semester 2

Course

Credit hours

Elective 1

3

Elective 2

3

Elective 3

3

 

Semester 3

Course

Credit hours

Elective 4

3

Elective 5

3

Elective 6 or Thesis-I

3

 

Semester 4

Course

Credit hours

Masters Project or Thesis-II

3

 

For any query, please contact at msds-queries@iba.edu.pk or msds@iba.edu.pk