BS Data Sciences
This course introduces students to various disciplines within computing, such as software development, cybersecurity, and data science etc. Students explore the importance of algorithms, programming, and data analysis in creating innovative solutions and advancing technology.
- 4Years / Onsite
- Intakes: Fall & Spring
Introduction
Data science is an interdisciplinary field of scientific methods, processes and systems for understanding the modern-age data sources, modeling the data behavior, extracting the business insight from that data, predicting future behavior and delivering useful data-driven business applications. In 2013, IBM estimated that two and a half million terabytes of data are created every day. Some of the sources, generating the data are:
- Individuals (through social networks and smartphones for the reflection of society)
- Machines (through real-time, network-connected sensors – Internet of things)
- Business and commerce (e.g. transaction records and financial data)
- Education (e.g. academics, literature, research)
- Medical / Healthcare (personal health records, health insurance)
- Justice (crime statistics for a city for the sake of efficient resource deployment)
- Transportation (Vehicle, pedestrians, trains, airlines, movement data)
The challenge is to make sense of this ever-increasing source of data for the use and benefit of society. A lot many companies and higher education institutions are already planning and implementing the programs to cater to this data tsunami. Data science has emerged as an interdisciplinary paradigm that draws upon the traditionally distinct areas of computer science, applied mathematics and statistics, applications from natural and social science, engineering, and business for developing solutions for gathering, cleaning, archiving, analyzing and visualizing data for the purposes of making informed decisions.
The Bachelors of Science in Data Science (BS-DS) program aims to develop core competencies in various areas of data science like understanding data products, data extraction, data cleaning, data modeling, classification, clustering, predictions, etc. Students will have the opportunity of learning the technical aspects of data science by understanding the trends in the current data products and preparing for the required data analysis skillset for the upcoming information processing systems. To cater to a wide range of professional and academic interests, students have the option of selecting their course work according to their specific needs.
BS Data Science Program Educational Objectives
The BS Data Science program aims to:
Pursue professional practices in data science or advanced studies based on the technical skills and knowledge in data analysis, machine learning, statistics, and supported disciplines.
Encourage students to develop and use abstract models in addition to applying respective technology in practical situations.
Provide practical skills to the students to initiate their career in industries, research organizations, and companies related to data science and analytics.
Prove mastery of the data science knowledge and skills necessary to work as a professional data scientist, by demonstrating an understanding of current data analysis models, machine learning techniques, and data-driven decision-making practices.
Provide formal foundations for higher learning.
Semester 1
| Course Code | Name | Credit Hours |
|---|---|---|
| XXX | Programming Fundamentals |
(3+1) |
| XXX | Discrete Structures | 3 |
| XXX | Probability & Statistics |
3 |
| XXX | English Composition and Comprehension |
3 |
| XXX | Introduction to ICT | (2+1) |
Semester 2
| Course Code | Name | Credit Hours |
|---|---|---|
| XXX | Calculus & Analytic Geometry |
3 |
| XXX | Object Oriented Programming |
3+1 |
| XXX | Introduction to Data Science |
2+1 |
| XXX | Communication and Presentation Skills |
3 |
| XXX | Pakistan Studies | 2 |
| XXX | Islamic Studies | 2 |
Semester 3
| Course Code | Name | Credit Hours |
|---|---|---|
| XXX | Data Structures and Algorithms | 3+1 |
| XXX | Digital Logic Design | 3+1 |
| XXX | Information Security | 3 |
| XXX | Linear Algebra | 3 |
| XXX | University Elective-II (Introduction to the Basic Teachings of the Qura’n | 2 |
Semester 4
| Course Code | Name | Credit Hours |
|---|---|---|
| XXXX | Analysis of Algorithms |
3 |
| XXXX | Database Systems |
3+1 |
| XXXX | Software Engineering |
3 |
| XXXX | Data Science Elective-I |
3 |
| XXXX | Organization and Assembly Language |
3+1 |
Semester 5
| Course Code | Name | Credit Hours |
|---|---|---|
| XXXX | Advance Statistics | 3 |
| XXXX | Artificial Intelligence | 3+1 |
| XXXX | Data Science Elective-II | 3 |
| XXXX | Operating Systems | 3+1 |
| XXXX | Differential Equations | 3 |
Semester 6
| Course Code | Name | Credit Hours |
|---|---|---|
| XXXX | Data Mining | 2+1 |
| XXXX | Data Science Elective-III | 3 |
| XXXX | Data Warehousing & Business Intelligence | 2+1 |
| XXXX | Computer Networks | 3+1 |
| XXXX | Big Data Analytics | 2+1 |
| XXXX | University Elective-III (Introduction to the Hadith & Seerah | 2 |
Semester 7
| Course Code | Name | Credit Hours |
|---|---|---|
| XXXX | Final Year Project-I | 3 |
| XXXX | University Elective-IV | 3 |
| XXXX | Technical & Business Writing | 3 |
| XXXX | Data Visualization | 2+1 |
| XXXX | Data Science Elective-IV | 3 |
| XXXX | Parallel & Distributed Computing | 2+1 |
Semester 8
| Course Code | Name | Credit Hours |
|---|---|---|
| XXXX | Final Year Project-II | 3 |
| XXXX | Professional Practices | 3 |
| XXXX | University Elective-V | 3 |
| XXXX | University Elective-IV | 2 |
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.