Institute of Computational intelligence
Bachelor of Science in Data Science (BSDS)
Introduction
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 develops foundation on broad computer science principles, including algorithms, data structures, data management and machine learning. This program will prepare graduates for a career in data analysis, combining foundational statistical concepts with computational principles from computer science.
1. To develop effective ways to solve computing problems. For example, DATA Science develops the best possible ways to store information in databases, send data over networks, and display complex images. The theoretical background offered by Computer Science allows determining the best performance possible, and their study of algorithms. It enables us to develop new problem-solving approaches that provide better performance.
2. It devises new ways to use computers intelligently and effectively. Progress in the areas of networking, database, and human-computer-interface came together as a result of the world-wide web, which changed the entire world. Now, researchers are working to make robots that are practical aides and demonstrate intelligence, databases that create new knowledge and, in general, use computers to do new things.
3. It deals with the design and implementation of software systems. DATA Science provides training and skills for the successful implementation of software systems that solve challenging programming jobs. Computer Science spans the range from theory to models, design and programming. Computer Science offers a comprehensive foundation that permits graduates to adapt to new technologies and new ideas.
Program Features
- Duration: 04 Years
- Credit Hours: 130
- Semester: 08
- Campus: Main Campus
| Semester – I | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-101 | Programming Fundamentals | 4 (3-3) | |
| GE-101 | Application of Information & Communication Technologies | 3 (2-3) | |
| GE-102 | Discrete Structures | 3 (3-0) | |
| GE-103 | Calculus and Analytic Geometry | 3 (3-0) | |
| GE-104 | Functional English | 3 (3-0) | |
| MN-101 | Mathematics (Part I) ** | 3 (3-0) | |
| Semester – II | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-102 | Object Oriented Programming | 4 (3-3) | |
| CC-103 | Database Systems | 4 (3-3) | |
| CC-104 | Digital Logic Design | 3 (2-3) | |
| MTS-101 | Multivariable Calculus | 3 (3-0) | |
| MTS-202 | Linear Algebra | 2 (2-0) | |
| MN-102 | Mathematics (Part II) ** | 3 (3-0) | |
| Semester – III | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-205 | Data Structures | 4 (3-3) | |
| CC-206 | Information Security | 3 (3-0) | |
| CC-207 | Artificial Intelligence | 3 (2-3) | |
| CC-208 | Computer Networks | 3 (2-3) | |
| CC-209 | Software Engineering | 3 (3-0) | |
| MTS-203 | Probability and Statistics | 3 (3-0) | |
| Semester – IV | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-210 | Computer Organization & Assembly Language | 3 (2-3) | |
| CSE-315 | Introduction to Data Science | 3 (2-3) | |
| CSE-314 | Advanced Statistics | 3 (3-0) | |
| GE-206 | Applied Physics | 3 (3-0) | |
| GE-207 | Expository Writing | 3 (3-0) | |
| GE-208 | Islamic Study | 2 (2-0) | |
| Semester – V | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-311 | Operating Systems | 3 (2-3) | |
| CC-312 | Data Mining | 3 (2-3) | |
| CS-313 | Data Visualization | 3 (2-3) | |
| CSE-301 | Visual Programming | 3 (2-3) | |
| CSE-302 | Web Technologies | 3 (2-3) | |
| GE-308 | Introduction to Management | 2 (2-0) | |
| Semester – VI | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CSD- | Data Warehousing and Business Intelligence | 3 (2-3) | |
| CSC-306 | Parallel & Distributed Computing | 3 (3-0) | |
| CSE-303 | Cyber Security | 3 (3-0) | |
| CSE-304 | Mobile Application Development | 3 (2-3) | |
| CSE-305 | Web Engineering | 3 (2-3) | |
| Semester – VII | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-412 | Final Year Project - I | 3 (2-3) | |
| CC-413 | Analysis of Algorithms | 3 (3-0) | |
| GE-409 | Entrepreneurship | 3 (3-0) | |
| CSC-201 | Theory of Automata | 3 (2-3) | |
| ES-401 | Introduction to Marketing | 3 (2-3) | |
| MTS-404 | Technical & Business Writing | 2 (2-0) | |
| Semester – VIII | |||
| Code | Course Name | Credit Hours | |
|---|---|---|---|
| CC-414 | Final Year Project - II | 4 (0-12) | |
| GE-410 | Professional Practices | 2(2-0) | |
| GE-411 | Ideology and Constitution of Pakistan | 2 (2-0) | |
| GE-412 | Civics and Community Engagement | 2 (2-0) | |
