B.S. DATA SCIENCE

INTRODUCTION

With a BS in Data Science, you will become the next generation analyst — a data scientist with comprehensive analytical and technical skills covering all aspects of handling and analyzing data. By deriving key insights from data, you will be driving the decision-making of the future. You will learn to work in interdisciplinary teams and not only make sense of vast amounts of data, but also use your organizational knowledge and market understanding to make a difference.

Businesses and other organizations worldwide are accumulating enormous quantities of data for software or market research, disaster prediction, investment analysis, policy development, artificial intelligence, preventive initiatives in health and much more. However, there is a widespread lack of professionals with the know-how to harvest intelligence from this data. The ZUFEST Data science graduate will fill that gap in a very appropriate manner.

SCOPE & OPPORTUNITIES

Data Science is exponentially growing field these days especially after the evolution of 5G and IoT applications. The specialized human resource in this field is highly in demand. Since students will be exposed to cases and other pedagogical tools, as well as interact regularly with the corporate sector, graduates are expected to be absorbed in the value-addition sectors of Pakistan, including technology, food and beverages, transportation, telecom, automotive, and the health sectors. They will also be able to engage in start-up businesses pertaining to Cloud services and data mining & management technologies.

PROGRAM EDUCATIONAL OBJECTIVES (PEOS)

Consistent with the Department of SE Vision and Mission, the Program Educational Objectives of the study program BS Data Science are:

  • PEO 1: To produce team leaders having theoretical and practical knowledge with algorithms, instruments, techniques and methods used in field of Data Science & Management.
  • PEO 2: To produce graduates with the ability to design & analyze small and large-scale database identifying problematic components, selecting solution strategies, implementing the necessary adjustments without compromising the professional ethics.
  • PEO 3: To produce graduates with necessary skills needed to independently start scientific research with the ability to independently apply publicized results or techniques in a new context.

PROGRAM LEARNING OUTCOMES (PLOs) /GRADUATE ATTRIBUTES

Program learning outcomes are the knowledge, skills, and capabilities students should possess by the time of graduation. The ZUFEST Software Engineering program prepares students to attain the educational objectives by ensuring that students demonstrate achievement of the following student outcomes:

Program learning outcomes are the knowledge, skills, and capabilities students should possess by the time of graduation. The ZUFEST Data Science program prepares students to attain the educational objectives by ensuring that students demonstrate achievement of the following student outcomes:

  • PLO1: Academic Education: To prepare graduates as computing professionals.
  • PLO2: 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 16 abstraction and conceptualization of computing models from defined problems and requirements.
  • PLO3: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PLO4: Design/Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PLO5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PLO6: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
  • PLO7: Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions
  • PLO8: 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. 
  • PLO9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
  • PLO10: Lifelong Learning: ability to recognize importance of and pursue lifelong learning in the broader context of innovation and technological developments.

SCHEME OF STUDIES

Semester-I
Sr.#Course Title
1Introduction to Data Science
2Programming Fundamentals
3Probability theory & Statistics I
4Calculus and Analytical Geometry
5Islamic Studies
6Academic English
Semester-I
Sr.#Course Title
1Introduction to Data Science
2Programming Fundamentals
3Probability theory & Statistics I
4Calculus and Analytical Geometry
5Islamic Studies
6Academic English
Semester-III
Sr.#Course Title
1Linear Algebra
2Intro. to Info. & Communication Tech.
3Model & Inference
4Interpersonal Communication Skills OR

Foreign Language I

5Data Structures and Algorithms
6Micro and Macroeconomics
Semester-IV
Sr.#Course Title
1Differential Equations
2Computer Architecture & Organization
3Methods of Data Analysis
4Business Process Analysis
5Data Communication and Networking (2+1)
6Intro. to Database Management Systems
Semester-V
Sr.#Course Title
1Numerical Computing/Analysis
2Data Mining -I
3Applied Regression Analysis
4Introduction to Software Engineering
5Mobile Computing
6Theory of Automata & Formal Language
Semester-V
Sr.#Course Title
1Numerical Computing/Analysis
2Data Mining -I
3Applied Regression Analysis
4Introduction to Software Engineering
5Mobile Computing
6Theory of Automata & Formal Language
Semester-VII
Sr.#Course Title
1Data Visualization
2Digital Logic Design
3Time Series Analysis
4Project I
5Big Data Concept & Techniques
6Introduction to Financial Accounting
Semester-VIII
Sr.#Course Title
1Project II
2Introduction to Data Warehousing
3Big Data & Analytics
4Project Management
5Machine Learning
6Web Engineering

LENGTH OF DEGREE PROGRAM

ProgramDuration (Minimum)Duration (Maximum)
BS Data Science4 years7 years

ELIGIBILITY CRITERIA

The criteria for students seeking admission to BS Software Engineering are as follows:

  • HSC/ Intermediate / DAE or Equivalent

FEE STRUCTURE

Application Processing Fees (Once) Rs. 2,500/- 
Admission Fee (Once) Rs. 15,000/- 
Security Deposit (Once & Refundable) Rs. 5,000/- 
Tuition Fee (per year) Rs. 74,000/- 
Examination (per year) Rs. 10,000/- 

fees Payment option 

Admission + Security  (At the time of Admission) 15,000/- + 5,000/- 
Monthly Installment (48 Installments: tuition fee + Examination Fee) 7,000/- 

Note: Any additional taxes imposed by the government will be the liability of the students/parents/guardian.

The University reserves the right to increase the fees if required according to the recommendation of the Governing Body.

At the time of admission, selected candidates will be required to deposit fee either under Option 1 or Option 2. Therfore monthly or semester fee will be deposited by students within two weeks of commencement of every semester in advance accoring to the official notification on the notice board. 2% surcharge per month will be levied on outstanding fees after the due date.

The students claiming exemptions from any course or courses will be required to pay exemption fee @ Rs. 2,500/- per subject in the beginning of semester.

Fees once deposited are not refundable, except security deposits, for any reason whatsoever.