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MS (Data Science)

FSC > Programs > Program Details
  • Program Overview
  • Tentative Study Plan

Program Overview

This program equips students to transform data into actionable insights that enable one to make complex business decisions. Students will able to process large and complex data sets through computational, statistical, and machine learning techniques. This program will provide exposure to the latest trends and technologies in this field. Thus, producing the man power to fuel national and international emerging market of data science products.

Registration in “MS Thesis/Project– I” is allowed provided the student has:

 

Eligibility:

  • Degree in relevant subject of Science or Engineering, earned from a recognized university after 16 years of education AND
  • At least 60% marks or CGPA of at least 2.0(on a scale of 4.0).

Selection Criteria:

  • Past Academic Record (Bachelor): 40%
  • Performance in NU MS Admission Test: 60%

Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester. In the second semester, a student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or Project, spread over two regular semesters.

 

This program is approved by HEC

Tentative Study Plan


Semester-1
Code Course Name Credit Hours Course Type Pre-requisite
Semester-2
Code Course Name Credit Hours Course Type Pre-requisite
Semester-3
Code Course Name Credit Hours Course Type Pre-requisite
Semester-4
Code Course Name Credit Hours Course Type Pre-requisite