Master of Data Science

Degree Level
Duration
2 years
Semester Fee
Rs. 200,000
Registration Fee
Rs. 25,000
Application Fee
Rs. 5,000

Navigate Page

Program Overview

Data is the core of every modern decision — and this program gives you the skills to turn it into strategy. You’ll master advanced statistical models, machine learning, big data engineering, and real-time analytics. Taught by data scientists and analysts from top tech and finance firms, the program blends theoretical depth with hands-on data labs and live business datasets. Whether you’re targeting roles in fintech, healthcare, marketing, or AI, this degree prepares you for high-stakes, high-salary work in one of the world’s fastest-growing fields.

      Key Features

      • Robust Training in Data Analytics & Engineering
        Focuses on statistical analysis, machine learning, and data engineering, enabling students to manage and analyze complex datasets effectively.
      • Proficiency in Industry-Standard Tools
        Equips students with hands-on experience in Python, R, SQL, and AI-powered platforms for data modeling, forecasting, and visualization.
      • Strategic Career Opportunities Across Industries
        Prepares graduates for roles such as data analyst, business intelligence consultant, data engineer, and AI strategy specialist in high-demand sectors.
      • AI-Driven Decision-Making & Operational Optimization
        Trains students to leverage AI in automating insights and optimizing business processes across global industries like fintech, healthcare, logistics, and e-commerce.

          Admission Criteria

          (1) Basic Academic Qualification:
          a. Sixteen years of schooling or 4 year education (minimum 120 credit
          hours) with at least 45% marks in the annual system or a minimum
          cumulative grade point average (CGPA) of 2.00 out of 4.00 (or an
          equivalent letter or numerical grade) in the semester system post
          Intermediate qualification or Equivalent shall be eligible for
          admission in the MPhil/MS/Equivalent program.
          b. The candidate possessing a degree in relevant subject from a
          foreign University/ DAI shall provide a degree equivalence
          certificate from HEC Pakistan.
          c. In case the %age of marks or CGPA obtained by the candidate is
          not mentioned on his/her transcript the academic qualification
          marks shall be calculated as per USA evaluation policy.
          (2) Admission Test:
          The concerned academic department will:
          a. Conduct a rigorous admission test as an eligibility condition for
          admission toMS/MPhil/Equivalent programs, with a passing score
          of 50%.
          OR
          b. Accept the GRE* /HAT General/Equivalent tests, with a passing score
          of 50%.
          c. The above-mentioned test result(s) should not be more than two (2)
          years old at the time of seeking admission.
          (3) Interdisciplinary Qualifications
          The candidate may be allowed to pursue MS/MPhil degree in an interdisciplinary area, if the DRC is satisfied that the applicant’s knowledge of
          primary area that has sufficiently prepared them to undertake
          MS/MPhil/equivalent program and has taken additional 6 to 9 CH of
          deficiency courses of level-6 after starting the program.

          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.

          Student Success Stories

          Faqs

          You’ll learn Python, R, SQL, and AI-powered analytics platforms for statistical analysis, data engineering, and machine learning.

          Graduates can become data analysts, business intelligence consultants, data engineers, or AI strategy specialists across industries.

          AI enhances data modeling, forecasting, and visualization, allowing you to automate data-driven decisions and optimize operations across sectors.

          Yes, with the rise of AI, data science professionals are highly sought-after in fintech, healthcare, logistics, e-commerce, and other industries.