B.S. DATA SCIENCE

INTRODUCTION

With a BS in Data Science, you will become the next generation analyst – a data scientist with comprehensive analytical and technical skills covering all aspects of handling and analyzing data. By deriving key insights from data you will be driving the decision-making of the future. You will learn to work in interdisciplinary teams and not only make sense of vast amounts of data, but also use your organizational knowledge and market understanding to make a difference.

SCOPE & OPPORTUNITIES

Data Science is exponentially growing field these days especially after the evolution of 5G and IoT applications. The specialized human resource in this field is highly in demand. Since students will be exposed to cases and other pedagogical tools, as well as interact regularly with the corporate sector, graduates are expected to be absorbed in the value-addition sectors of Pakistan, including technology, food and beverages, transportation, telecom, automotive, and the health sectors. They will also be able to engage in start-up businesses pertaining to cloud services and data mining & management technologies.

PROGRAM EDUCATIONAL OBJECTIVES (PEOS)

Consistent with the Department of SE Vision and Mission, the Program Educational Objectives of the study program BS Data Science are:

  • PEO 1: To produce team leaders having theoretical and practical knowledge with algorithms, instruments, techniques and methods used in field of Data Science & Management.
  • PEO 2: To produce graduates with the ability to design & analyze small and large-scale database identifying problematic components, selecting solution strategies, implementing the necessary adjustments without compromising the professional ethics.
  • PEO 3: To produce graduates with necessary skills needed to independently start scientific research with the ability to independently apply publicized results or techniques in a new context.

SCHEME OF STUDIES

Semester — I

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1 CS-107Introduction to Info. & Comm.Technologies212+1
2CS-104Programming Fundamentals313+1
3NS-106Applied Physics212+1
4NS-109Calculus and Analytical Geometry303+0
5HS-100/ HS-102Islamic Studies /Ethical Behavior202+0
6HS-103Pakistan Studies202+0
Total14317

Semester — II

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-103Discrete Structures303+0
2CS-112Object Oriented Programming313+1
3NS-201Linear Algebra 303+0
4MS-101Principles of Accounting303+0
5HS-114Communication & Presentation Skills303+0
Total15116

Semester — III

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS- 201 Exploratory Data Analysis and  Visualization212+1
2CS-222Data Structures212+1
3NS-206Probability and Statistics303+0
4 CS-203Fundamentals of Data Science212+1
5MS-211 Micro and Macro Economics303+0
6EE-212Digital Logic Design212+1
Total1448

Semester — IV

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-233Introduction to Database System313+1
2CS-234Operating Systems313+1
3MS-106Principle of Marketing303+0
4CS-225Computer  Architecture and  Organization303+0
5NS-311Numerical and Symbolic Computing212+1
Total14317

Semester — V

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1SE-212Introduction to Software Engineering212+1
2CS-311Modeling and Simulation212+1
3CS-355Computer Communication and Networks313+1
4CS-354Machine Learning313+1
5HS-222Technical Report Writing303+0
Total13417

Semester — VI

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-351Automata  Theory and Formal Language303+0
2CS-304Information and Data Security303+0
3CS-336Data Mining212+1
4CS-413Web Engineering212+1
5CS-337Natural Language Processing212+1
6CS-335Design and Analysis of Algorithms303+0
Total15318

Semester — VII

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-450Final Year Project –I030+3
2CS-455Deep Learning and Applications313+1
3CS-433Mobile Application Development313+1
4MS-414Entrepreneurship and Leadership303+0
Total9514

Semester — VIII

Sr.#Course CodeCourse TitleTh.LabCr.Hr
1CS-450Final Year Project –II030+3
2CS-454Cloud Computing212+1
3CS-456Big Data Analytics212+1
4CS-457Internet of things212+1
Total6612
Total Credit Hours 129
Total Lab Credit Hours 29
Total Theory Credit Hours 100

LENGTH OF DEGREE PROGRAM

ProgramDuration (Minimum)Duration (Maximum)
BS Data Science4 years7 years

ELIGIBILITY CRITERIA

The criteria for students seeking admission to BS Data Science are as follows:

  • 12 years of education with 45% marks or above in Matriculation or equivalent examination and Scored 45% marks or above in Intermediate or equivalent examination.
  • Minimum score for eligibility is 50% in the ZU Admissions Test.

Note: Candidates who have completed 12 years of education and obtained degrees other than Matriculation (SSC) or Intermediate (HSSC) are required to obtain an equivalence certificate from the Inter Board Committee of Chairman (IBCC).

FEE STRUCTURE

Application feeAdmission FeesSecurity DepositTuition Fees per monthExamination Fee
                  2,500                   15,000                     5,000         7,000                   10,000