BS Data Science

Introduction

From a computational perspective, the degree mostly focuses on data science. It was created to provide students with cutting-edge information in order to support the rising requirement for computer technologies that demand smart and varied data use. Furthermore, the program aids students in their understanding of broad computers science ideas such as data analytics, big data, and data validation. The degree offered by the best university in Multan is appropriate for individuals interested in pursuing a job in the industry as well as those who prefer to pursue a more specialized study in the field of data science or big data. When it comes to competence in the subject of Data Science, the software industry is currently experiencing a human resource shortage.

Program Educational Objectives (PEOs)

PEO-I

Contribute competently in the computing industry by applying requisite technical skills.

PEO-II

Demonstrate advancement in the computing profession by enhancing their knowledge and skills.

PEO-III

Demonstrate ethical values and contribute positively to society.

Programs Learning Outcomes (PLOs)

Knowledge

An ability to apply knowledge of mathematics, science, computing fundamentals, and computing specialization to the solution of complex computing problems.

Problem Analysis

An ability to identify, formulate, research literature, analyze complex computer science problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and computer sciences.

System Design

An ability to design solutions for complex computer science problems and design systems, components, or processes that meet specified needs while maintaining computing standards, cultural, societal, and environmental considerations.

Investigation

An ability to investigate complex computer science problems in a methodical way, including literature survey, design and development of systems, analysis and interpretation of computational data, and synthesis of the information to derive valid conclusions.

Computing Tool Usage

An ability to create, select and apply appropriate techniques, resources, and modern IT tools, including prediction and modeling, to complex computer science activities, with an understanding of the limitations.

Impact Analysis

An ability to apply to reason informed by the contextual knowledge to assess societal, legal, and cultural issues and the consequent responsibilities relevant to professional computer science practice and solutions to complex computer science problems.

Management Skills

An ability to demonstrate management skills and apply computing principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

Team Work

An ability to work effectively, as an individual or in a team, in multifaceted and /or multidisciplinary settings.

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.

Communication

An ability to communicate effectively, orally as well as in writing, on complex computing activities with the computing community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Lifelong Learning

An ability to recognize the importance of and pursue lifelong learning in the broader context of innovation and technological developments.

Eligibility Criteria

Intermediate or equivalent with either mathematics as a subject or Pre-Medical as discipline with at least 50% marks.

 

Scheme of Study BS Data Science Program

Total Credit Hours = 130

Introduction to ICT Discrete Structure Calculus & Analytical Geometry
Programming Fundamentals English Composition & Comprehension Object-Oriented Programming
Database Systems Probability & Statistics Communication & Presentation Skills
Linear Algebra Data Structures & Algorithms Information Security
Artificial Intelligence Differential Equations Computer Networks
Digital Logic & Design Computer Organization & Assembly Language Analysis of Algorithms
Introduction to Data Science Operating Systems Data Mining
Advance Statistics Data Warehousing & Business Intelligence DS – Elective 1
DS – Elective 2 Big Data Analysis Data Visualization
Parallel & Distributed Computing University Elective – 1 DS – Elective 3
Software Engineering University Elective – 2 Technical & Report Writing
DS – Elective 4 University Elective – 3 Final Year Project – 1
University Elective – 4 Pakistan Studies Islamic Studies / Ethics
Professional Practices Final Year Project – 2

Elective Courses (Group-I)

Machine Learning Theory of Automata & Formal Methods Artificial Neural Networks
Topics in Data Sciences

 

Elective Courses (Group-II)

Platform & Architecture of Data Science Business Process Analysis Text Mining
Privacy Preservation