ICBS Faculty

Department of Data Sciences

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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 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.
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FCS

Mission Statement

The mission of the Data Science (DS) Program is to integrate the research into practical, relevant solutions to address business and societal challenges. Through DS educational programs, to address the analytical and data-centric needs of a modern workforce. It serves the broader community in the translation of data into information to support and improve decision making.

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Admission Criteria

Higher Secondary School Certificate or equivalent (2nd division with at least 50% marks) in pre-engineering/pre-medical/Intermediate in computer sciences/relevant subjects.

Message from the Head of the Data Sciences Department:

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Program Educational Objectives (PEOs)

PEO: 01

To provide in-depth understanding and education of civil engineering by incorporating analysis, design, construction and management of engineering problems.

PEO: 02

To impart ethics and concepts of sustainable development

PEO: 03

To enhance student skills through effective communication and teamwork

Program Offered

BS Data Sciences

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SCHEME OF STUDIES

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Year 1

Semester -I

Course No Course Title Credit Hours
  Introduction to ICT 3 (2-1)
  Programming Fundamentals 4 (3-1)
  Discrete Structures 3 (3-0)
  Calculus & Analytic Geometry 3 (3-0)
  English Composition & Comprehension 3 (3-0)
  Total Credits 16
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Year 1

Semester -II

Course No Course Title Credit Hours
  Object Oriented Programming 4 (3-1)
  Database Systems 4 (3-1)
  Linear Algebra 3 (3-0)
  Probability & Statistics 3 (3-0)
  Communication & Presentation Skills 3 (3-0)
  Total Credits 17
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Year 2

Semester -III

Course No Course Title Credit Hours
  Data Structures & Algorithms 4 (3-1)
  Information Security 3 (3-0)
  Artificial Intelligence 4 (3-1)
  Digital Logic Design 4 (3-1)
  Differential Equations 3 (3-0)
  Total Credits 18
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Year 2

Semester -IV

Course No Course Title Credit Hours
  Computer Networks 4 (3-1)
  Computer Org. & Assembly Language 4 (3-1)
  Analysis of Algorithms 3 (3-0)
  Introduction to Data Science 3 (2-1)
  Advance Statistics 3 (3-0)
  Total Credits 17
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Year 3

Semester -V

Course No Course Title Credit Hours
  Operating System 4 (3-1)
  Data Mining 3 (2-1)
  Data Warehousing & Business Intel. 3 (2-1)
  DS Electiv-1 3 (3-0)
  DS Elective-2 3 (2-1)
  University Elective-1 3 (3-0)
  Total Credits 19
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Year 3

Semester -VI

Course No Course Title Credit Hours
  Parallel & Distributed Computing 3 (2-1)
  Big Data Analytics 3 (2-1)
  Data Visualization 3 (2-1)
  DS Elective-3 3 (3-0)
  DS Elective-4 3 (3-0)
  University Elective-2 3 (3-0)
  Total Credits 18
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Year 4

Semester -VII

Course No Course Title Credit Hours
  Final Year Project - I 2 (0-2)
  Software Engineering 3 (3-0)
  University Elective-3 3 (3-0)
  Technical & Business Writing 3 (3-0)
  Islamic Studies/ Ethics 2 (2-0)
  Total Credits 13
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Year 4

Semester -VIII

Course No Course Title Credit Hours
  Final Year Project - II 4 (0-4)
  University Elective-4 3 (3-0)
  Professional Practices 3 (3-0)
  Pakistan Studies 2 (2-0)
  Total Credits 12

Total Hours: 16+14+14+17+18+19+20+16=134 CR

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