In April 2019, scientists for the very first time were able to capture the image of a black hole from a distance of close to 54 million light-years from Earth. The image was a successful result of years of efforts put into the Event Horizon Telescope Project, an Earth-wide network of multiple radio telescopes. Through state-of-the-art visual imaging and computing technology were the scientists able to provide the images. This is only one of the fronts where computer science has made age-altering breakthroughs possible. Other instances include bionic arms, artificial life and tracing human existence, amongst others. Thus, pursuing a career in the field of Computer Science can open the door to an array of career opportunities across various industries. BSc Computer Science is one such route through which you can kick-start your career in this field. This blog will focus on providing an overview of the BSc Computer Science subjects and the specialization under which they are offered.
This Blog Includes:
| BSc Computer Science Subjects | Computer Programming, Data Structures and Algorithms, Machine Learning, Operating Systems, Computational Modelling, Computer Simulation |
| Duration | 3 Years |
| Jobs | IT Specialist, Game Designer, Quality Analyst Graphic Designer, Software Developer, Testing Engineer, Database Designer, Project Manager |
| Salary | 3-6 Lakhs per annum |
| Colleges | St. Stephen’s College, St. Stephens College, Christ University |
| Colleges Abroad | MIT, Stanford University, Georgia Tech, LMU Munich |
| Eligibility | 10+2 in Science Stream |
BSc Computer Science Subjects
A typical BSc Computer Science syllabus is distributed into specializations, core (required) and a range of electives from not only Science but also from Social Sciences, Humanities, and Arts. These courses are geared towards providing students with a solid understanding of Computer Science as a field as well as of a specific facet, for instance, Computer Science Engineering and much more.
Here is the complete list of BSc Computer Science Subjects:
- Computational Perception & Robotics
- Computer Graphics
- Computing Systems
- Theoretical Computer Science
- Human-Centred Computing
- Computer & Network Security
- Software Theory
- High-Performance Computing
- Human-Computer Interaction
- Interactive Intelligence / Artificial Intelligence
- Machine Learning
- Biocomputation
- Information Management & Analytics
- Real-World Computing
- Modelling & Simulations
- Real-World Computing
- Scientific Computing
- Social Computing
- Systems and Visual Analytics
Also Read: Masters in Computer Science in Australia
BSc Computer Science Syllabus
Mainly offered as a 3-year degree program, BSc Computer Science aims to provide students with the knowledge of Computer Programming, Data Structures and Algorithms, Machine Learning, Operating Systems, Computational Modelling, Computer Simulation, Computer Structures amongst others.
Here is a complete semester-wise syllabus of BSc Computer Science:
| Semester | BSc Computer Science Syllabus |
| I | Computer Science Basics Fundamentals of Embedded Systems Digital Electronics English Language Mathematics Environmental Sciences, etc. |
| II | Basic Programming Concepts Advanced Mathematics Open Source Software Fundamentals-LINUX, etc. |
| III | Introduction to Data Structures Fundamentals of Operating Systems Object-Oriented Programming using C++ |
| IV | System Programming: Fundamentals of Computer Networks Introduction to Database Management Systems Computer Graphics Java Programming, etc. |
| V | Software Engineering Introduction to Mobile Application Development Python Programming Advanced Java Practicals of DBMS, OS, Java, etc. |
| VI | Networking and Security Linux Web Design Principles Practicals |
Core and Electives in BSc Computer Science
As discussed, each and every specialization has its own set of required and elective subjects. Also, often they overlap one another to encourage a multidimensional development of the students. The following table attempts to give an insight into the BSc Computer Science subjects:
| Specializations | Required (Core) | Electives |
| Devices | Introduction to Computer Programming; Data Structures & Algorithms; Languages & Computation; Embedded Systems Design; Mobile Applications & Services for Converged Networks; etc |
Computer Structures; Advanced Operating Systems; Pattern Recognition; Robot Intelligence: Planning; Pervasive Systems & Networking; etc |
| Systems & Architecture | Introduction to Computer Programming; Data Structures & Algorithms; Programming Embedded Systems; Compilers; Interpreters & Program Analysers; etc |
Advanced Operating Systems; Advanced Computer Organisation; Internet Computing Systems; Information Security, etc. |
| Intelligence | Introduction to Computer Programming; Data Structures & Algorithms; Automata & Complexity Theory; Robotics & Perception; Robot Intelligence; etc |
Introduction to Cognitive Science; Knowledge-based AI; Robot Intelligence Planning; Computational Journalism, etc. |
| Modeling & Simulation | Introduction to Computer Programming; Data Structures & Algorithms; Computational Modelling Algorithms; Computer Simulation; etc |
Computer Graphics; Introduction to AI; Distributed Simulation Systems; Computer Animation; Scientific Data Processing & Visualisation, etc. |
| Computing Systems* | Computability, Algorithms & Complexity; Advanced Operating Systems; Compiler Design; Programming Languages; Database Systems Concepts & Designs, etc. |
Big Data Systems & Analytics; Network Security; Software Architecture & Design; Applied Cryptography, etc. |
| Machine Learning* | Computability, Algorithms, and Complexity; Computational Data Analysis; Randomized Algorithms |
Computer Vision; Machine Learning Theory; Pattern Recognition; Deep Learning, etc. |
* Since these fields are a little advanced, having prior knowledge may be a prerequisite.
Universities
Institutions in the USA and UK have been specially recognized by global ranking services for their industry-focused programs, study curriculum, faculty and a host of other aspects. A rank-based categorization of universities offering interesting BSc Computer Science subjects has been tabulated below:
| Name of the University | THE World University Rankings 2021 |
| Stanford University | #2 |
| MIT | #5 |
| Carnegie Mellon University | #28 |
| Ludwig Maximilian University of Munich | #32 |
| Georgia Institute of Technology | #38 |
| TU Munich | #41 |
| University of Manchester | =51 |
| The Australian National University | #59 |
| Delft University of Technology | #78 |
| Purdue University | #94 |
| University of Glasgow * | #92 |
* At this university, computer combinations with social sciences, languages, and humanities are also offered.
Further, after completing the BSc degree, many graduates choose to pursue an MSc Computer Science, Masters in Machine Learning or MBA in Computer Science to build a career in Artificial Intelligence, Robotics, Data Science and much more.
Related Articles: Career Objective for Resume for Fresher in Computer Science
The popular BSc Computer Science subjects include Machine Learning, Robotics, and Artificial Intelligence. Needless to say, to excel in these requires consistent effort and motivation on the part of the student. If you are facing difficulties as to which stream or specialization to choose, then you can take the assistance of Leverage Edu’s AI-tool which maps your interests and suggest options based on it so that you can put forward the right step towards a rewarding career.
