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Bachelor of Science in Data Science

Degree Level
Undergraduate
Duration
4 years
Semester Fee
Rs. 200,000
Registration Fee
Rs. 25000
Application Fee
Rs. 5000
Scholarships
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Program Overview

The University of South Asia is excited to announce the launch of its BS Data Science Program under the Computer Science Department, starting in Fall 2025. This innovative program is designed to equip students with comprehensive knowledge and skills in data science, preparing them to thrive in the dynamic world of data analytics and decision-making. Focused on technical expertise, critical thinking, and ethical practices, the program aims to develop professionals capable of solving complex real-world problems using data-driven insights. Enroll now to become a part of this transformative educational experience and contribute to the evolving field of Data Science.

Department Mission Statement

To cultivate graduates with innovative thinking, deep knowledge, and exceptional problem-solving skills, equipped with cutting-edge expertise to meet diverse global challenges and contribute significantly to the nation’s economic growth.

Program Objectives

The University of South Asia’s POs aim to develop proficient, ethical graduates who excel professionally and contribute positively to society. The POs for the BS Data Science program is given below:
  • PO1
    Graduates demonstrate technical expertise in data science and related domains.
  • PO2
    Graduates apply creative thinking to solve real-world problems using data science technologies.
  • PO3
    Graduates reflect ethical principles and leadership skills in the development and deployment of data science solutions.
  • PO4

    Graduates integrate emerging data science trends to address interdisciplinary challenges.

    Program Objectives (POs) Alignment with the Department Mission Statement
    PO1: Graduates demonstrate technical expertise in data science and related domains. This PO aligns with the mission by emphasizing the development of graduates with deep knowledge and cutting-edge expertise to meet global challenges.
    PO2: Graduates apply creative thinking to solve real-world problems using data science technologies. This PO corresponds to the mission’s goal of cultivating innovative thinking and leveraging data-driven solutions to solve problems and contribute to global challenges.
    PO3: Graduates reflect ethical principles and leadership skills in the development and deployment of data science solutions. This PO supports the mission’s focus on preparing professionals with ethical principles and leadership to contribute meaningfully to society and the economy through data-driven insights.
    PO4: Graduates integrate emerging data science trends to address interdisciplinary challenges . This PO aligns with the mission’s objective of equipping graduates with cutting-edge expertise in data science technologies to address complex, interdisciplinary global issues.

Graduate Attributes (GAs)

  • GA-1: Academic Education:
    Completion of an accredited program of study designed to prepare graduates as computing professionals.
  • GA-2: Knowledge for Solving Computing Problems:
    Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • GA-3: Problem Analysis:
    Identify and solve complex computing problems, reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • GA-4: Design/Development of Solutions:
    Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs.
  • GA-5: Modern Tool Usage:
    Create, select, or adapt and then apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • GA-6: Individual and Teamwork:
    Function effectively as an individual and as a member or leader of a team in multidisciplinary settings.
  • GA-7: Communication:
    Communicate effectively with the computing community about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • GA-8: Computing Professionalism and Society:
    Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
  • GA-9: Ethics:
    Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
  • GA-10: Life-long Learning:
    Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Key Features

  • Core Training in Data and AI Technologies
    The program emphasizes statistical analysis, data engineering, and machine learning, with practical skills in Python, R, SQL, and AI-powered analytics tools.
  • Expertise in Data-Driven Problem Solvin
    Students develop the ability to model, forecast, and visualize data to solve complex challenges and guide intelligent decision-making in real-world contexts.
  • Diverse Career Opportunities
    Graduates can pursue roles such as data analyst, business intelligence consultant, or AI strategy specialist in sectors like fintech, healthcare, logistics, and e-commerce.
  • Critical Role in Global Innovation
    Data science professionals drive AI-enabled automation and operational optimization across industries, making them vital to strategic planning and innovation worldwide.

Admission Criteria

The minimum requirements for admission in a Bachelor of Science in Data Science are at least 50% marks in the Intermediate (HSSC) examination with Math/ Math & Supporting or equivalent qualification with Math/ Math & Supporting certified by IBCC.

OR

Candidates having at least 50% marks in the Intermediate (HSSC) examination (Pre-Medical Grp) certified by IBCC are also eligible for admission in an Associate degree program in Computer Science subject to passing (Non-Credit, Pass/Fail Only) two Math/ Math & Supporting courses within first years of their regular studies as per NCEAC vide the 36th Minutes of Meeting of General Council of National Computing Education Accreditation Council1.

Category of Students Eligibility Criteria
Intermediate Students
  • Completion of Intermediate
  • Must have at least 50% marks
ADP Students (Same Discipline)
  • Completion of ADP (Same Discipline)
  • Must have at least 2 CGPA, enroll directly in the 5th semester without the need for bridging semester
BA/ADP (Other Discipline) Students
  • Completion of BA or ADP (Other Discipline)
  • Must have at least 2 CGPA or 50% marks
  • Must take a bridging semester before continuing to the 5th semester of Bachelor of Science in Data Science

Admission Process

  1. Fill out the admission form.
  2. Pay the application fee of Rs. 5,000.
  3. Appear for the admission test.
  4. Pass the test with a minimum of 60% marks.
  5. Students who pass the test can enroll in the premium educational program.
  6. An acceptance or rejection letter will be issued.
  7. The last date for fee deposit will be clearly indicated on the fee voucher.
  8. Admission will be canceled for students who do not pay the required dues by the deadline.
  9. Admission tests are conducted every Saturday and Wednesday.
  10. Tests will be conducted on computers.
  11. Test results will be announced the next day and communicated to students via WhatsApp and Email.

Program Structure Overview

Category Number of Courses Total Credit Hours
Major/Computing Core 14 46
Major/Domain Core 7 18
Major/Domain Electives 7 21
Inter Disciplinary /Mathematics & Supporting Courses/EW 4 12
Inter Disciplinary /Elective Supporting Courses/SS 1 3
General Education Requirement 15 34
Totals 47 134

Degree Completion Requirements

Program Feature Details
Minimum Duration 4 years
Maximum Duration 6 years (1 year extension by the competent authority)
Semesters 8
Project Credit Hours 3
Internship Credit Hours 0
Minimum Credit Hours Required 134
Minimum CGPA Required 2.0/4.0

Program Curriculum

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Student Success Stories

The University of South Asia’s hands-on Python and SQL training helped me land my first data analyst job before graduation.
Maria Tariq
Data visualization and forecasting projects gave me the confidence to work with real business data and deliver insights that drive decision-making.
Bilal Azeem
I turned my final capstone project into a job offer. The program’s focus on machine learning was a game-changer.
Sana Khalid

FAQs

Students learn Python, R, SQL, Power BI, Tableau, and AI-based platforms like Scikit-learn and TensorFlow.

A basic understanding of math and statistics helps, but foundational courses are included to build these skills from the ground up.

Projects include customer segmentation, predictive modeling, sales forecasting, and real-time dashboards using real-world datasets.

Graduates work in finance, healthcare, e-commerce, logistics, marketing, and government sectors globally.