BSCS in Data Science

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

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Program Overview

In a world where every click, transaction, and diagnosis generates data, data science has become a high-value skill with endless demand. This program trains you to uncover insights, predict trends, and make intelligent decisions using massive datasets. Our faculty includes PhDs and professionals working with banks, startups, and research labs. You’ll learn through case studies, capstone projects, and live industry collaborations — not just theory. With global demand for data scientists skyrocketing, this degree is your entry into one of the world’s top-paying tech careers.

      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 Process

          1. 1. Fill out the admission form.
          2. 2. Pay the application fee of Rs. 5,000.
          3. 3. Appear for the admission test.
          4. 4. Pass the test with a minimum of 60% marks.
          5. 5.Students who pass the test can enroll in the premium educational program.
          6. 6. An acceptance or rejection letter will be issued.
          7. 7. The last date for fee deposit will be clearly indicated on the fee voucher.
          8. 8. Admission will be canceled for students who do not pay the required dues by the deadline.
          9. 9. Admission tests are conducted every Saturday and Wednesday.
          10. 10.Tests will be conducted on computers.
          11. 11. Test results will be announced the next day and communicated to students via WhatsApp and email.
          Semester No 1
          Credit Hours
          NSC1001 - Applied Physics
          03
          ICT1001 - Applications of ICT for Smart Learning
          03
          ANH1001 - Creative Design and Digital Innovation
          02
          ENG1001 - Effective Communication in Digital World
          03
          PAK1001 - Pakistan: Ideology & Constitution
          02
          SSE1001 - Psychology and Human Behaviour in the Digital Age
          02
          Fundamental Mathematics (Deficiency Course)
          0
          Semester No 2
          Credit Hours
          CSC1301 - Probability & Statistics
          03
          ETR1001 - Entrepreneurship and Financial Literacy
          02
          CSC1101 - Programming Fundamentals
          04
          CSC1102 - Digital Logic Design
          03
          RNE1001 - Islamic Studies / Ethics and AI Morality
          02
          CIV1001 - Civic and Community Engagement
          02
          Pre-Calculus II (Deficiency Course)
          0
          Semester No 3
          Credit Hours
          QRE1001 - Discrete Structure
          03
          QRE1002 - Calculus & Analytical Geometry
          03
          ENG1002 - Writing & Reading for Impact
          03
          CSC2101 - Object Oriented Programming
          04
          CSC2102 - Database Systems
          04
          Semester No 4
          Credit Hours
          CSC1301 - Linear Algebra
          03
          CSC2103 - Data Structures
          04
          CSC2106 - Advanced Database Management
          03
          CSC2104 - Software Engineering
          03
          CSC2105 - Operating Systems
          03
          6Domain Elective I
          03
          Semester No 5
          Credit Hours
          Data Mining
          03
          Statistical Analysis for Data Science
          03
          Semester No 6
          Credit Hours
          Big Data Analytics
          03
          Predictive Modeling
          03
          Semester No 7
          Credit Hours
          Data Wrangling and Preprocessing
          03
          Data Visualization
          03
          Semester No 8
          Credit Hours
          Machine Learning for Data Science
          03
          Capstone Project II
          04

          Student Success Stories

          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.

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