Data Science
Undergraduate
College of Computer Sciences & Information Systems
BS (Data Science) has a dual emphasis on basic principles of statistics and computer science, with foundational training in statistical and mathematical aspects of data analysis. This program, in addition, develops foundation on broad computer science principles, including algorithms, data structures, data management and machine learning. The program is suitable for students interested in either a career in industry or who wish to pursue more specialized graduate study. This program will prepare students for a career in data analysis, combining foundational statistical concepts with computational principles from computer science. A major component of this degree is the final year two-semester project, that teaches students how to apply statistical and computational principles to solve large-scale, real-world data analysis problems. BS (Data Science) is a four year degree program. It requires completion of 144 credit hours of course work and 2 credit hours of internship of at least six weeks at an organization approved by the Institute.
Data Science students learn to:
Learning Outcomes for Data Science Certificate students include:
The BS (Data Science) is a four-year program. Applicants who have successfully completed H.Sc with minimum 50% marks in Pre- Engineering or in General Group (with Mathematics/Statistics/Computer Science) or A-Levels with a maximum 2 ‘C’s in three principal subjects (with Mathematics/Statistics/Computer Science) are eligible to apply for admission.
1. Knowledge of how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights.
2. Acquisition of hands-on experience with relevant software tools, languages, data models, and environments for data processing and data visualization.
3. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience.
Prospective Firms/Companies
1. Real Estate Industry
2. Hospital Industry
3. Social Media Data Analytics Firms
4. Food and Supply Industry
5. Banking Sector
6. Airline Industry
7. Communication & Transportation Industry
8. Government & Private Sector
9. Insurance Industry
Communication
COM107 Academic English
COM202 Business and Professional Speech
COM205 Persuasive & Analytical Writing for Bus. Comm
Information Technology
CSC111 Information and Communication Technology
CSC111 Information and Communication Technology LAB
CSC219 Professional Practices
Religious Studies
REL101 Islamic Studies
Political Sciences
PSC301 Pakistan Studies
Social Sciences
SSC301 History of Ideas
Economics
ECO104 Micro and Macroeconomics
Natural Sciences
PHY111 Applied Physics
SSC202 Environmental Studies
Language
LAN 10* Foreign Language I
LAN 20** Foreign Language II
*1 = Introduction to Arabic *2 = Introduction to French
*4 = Introduction to German *6 = Introduction to Italian
*8 = Introduction to Chinese
**1 = Intermediate Arabic **2 = Intermediate French
**4 = Intermediate German **6 = Intermediate Italian
**8 = Intermediate Chinese
Mathematics & Statistics
MTH107 Calculus & Analytical Geometry
MTH204 Linear Algebra
MTH215 Differential Equations
STA203 Probability Theory and Statistics I
Computing (Core Courses)
CSC113 Programming Fundamentals
CSL113 Programming Fundamentals LAB
CSC213 Object Oriented Programming
CSL213 Object Oriented Programming LAB
CSC215 Data Structures & Algorithms
CSL215 Data Structures & Algorithms LAB
CSC217 Intro to Database Systems
CSL217 Intro to Database Systems LAB
CSC231 Discrete Structures
CSC313 Operating Systems
CSL313 Operating Systems LAB
CSC317 Intro to Software Engineering
CSC319 Computer Networks
CSL319 Computer Networks LAB
CSC419 Information Security
BDS491 Final Year Project I
BDS492 Final Year Project II
Computer Science (Core Courses)
CSC115 Digital Logic & Design
CSC115 Digital Logic & Design LAB
CSC211 Computer Organization and Assembly Language
CSL211 Computer Organization & Assembly Language LAB
CSC315 Design Analysis of Algorithms
CSC413 Artificial Intelligence
CSL413 Artificial Intelligence LAB
CSC418 Parallel & Distributed Computing
Data Science (Core Courses)
STA205 Probability Theory & Statistics II
BDS101 Introduction to Data Science
BDS301 Data Mining
BDS401 Data Visualization
BDS403 Big Data & Analytics
BDSxxx Data Warehousing & Business Intelligence
STA301 Model & Inference
STA302 Methods of Data Analysis
Data Science
BDS410 Stochastic Processes
BDS404 Machine Learning
CSC311 Theory of Automata & Formal Languages
BDS201 Business Process Analysis
BDS402 Big Data & Concepts
BDS411 Time Series Analysis & Forecasting
BDS418 Health Informatics
BDS413 Bioinformatics
BDS414 Game Theory
BDS415 Financial Data Analytics
BDS421 Deep Learning
BDS417 Artificial Neural Networks
BDS422 Platform & Architecture for Data Science
BDS423 Privacy Preservation
BDS424 Speech Processing
BDS425 Text Mining
ECO304 Introduction to Econometrics
BDS429 Topics in Data Science
Semester One (19 Credit Hours) | Semester Two (19 Credit Hours) |
---|---|
Programming Fundamentals (3+0) [Pre Req. NA] |
Environmental Studies (3+0) [Pre Req. NA] |
Semester Three (19 Credit Hours) | Semester Four (16 Credit Hours) |
Pakistan Studies (3+0) [Pre Req. NA] |
Differential Equations (3+0) [Pre Req. MTH224] |
Semester Five (17 Credit Hours) | Semester Six |
---|---|
Model & Inferences (3+0) [Pre Req. MTH205] |
Intro. to Database Systems (3+0) [Pre Req. CSC215] |
Semester Seven (19 Credit Hours) | Semester Eight (18 Credit Hours) |
Artificial Intelligence (3+0) [Pre Req. CSC231] |
Data Warehousing & Bus. Intelligence (2+0) [Pre Req. NA] |
Interested in this program? Visit the admissions page for more information.
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