BSc (Hons) Computer Science with Artificial Intelligence
Course Title
BSc (Hons) Computer Science and Artificial Intelligence
Course Duration
4 years
Course Coordinator
Mr. Rupak Koirala
Timing
Full Time
Credit Hours
480
Registration Form
Register HereBSc Computer Science with Artificial Intelligence embodies the academic and industrial understanding that artificial intelligence is a highly demanded specialization of computer science, and therefore practitioners of artificial intelligence must have a solid foundation in computer science.
Level Four
The first year equips you with a solid foundation in key topics in Computer Science and introduces artificial intelligence. Therefore, the first year shares five of its six modules with BSc (Hons) Computer Science and covers key concepts, such as computer programming, algorithms and data structures, computer systems, website development, and introductory artificial intelligence, and nurtures your creativity with an innovation project. Your practice is supported by presentations, seminar discussions of key topics and ideas, and collaborative practices with other students in the school or faculty. After the first year, you will have covered a broad range of topics in Computer Science that will upskill you to understand the key industrial skills and prepare you to take advanced topics in the subsequent years.
Level Five
The second year consolidates your learning with four computer science modules and two artificial intelligence-specific modules. The computer science curriculum includes highly sought-after skills in cyber security, software design, object-oriented programming, databases, and web application development. The topics on artificial intelligence are machine learning and machine learning operations.
These topics are highly practical and underpin the roles of Software Developers, Computer Programmers, and Machine Learning Engineers in industry.
Level 5 consists of a dedicated professional placement in Year 3 that helps you get hands-on industry experience working in the field.
Level Six
The final year covers the advanced topics in the practice of artificial intelligence and the key application areas. These include Deep Learning, the technology behind the mass adoption of artificial intelligence in industry, and its applications in computer vision and natural language processing. This year also teaches key enabling technology powering scalable computing in industry.
Your learning culminates into an Individual Honours Project where you display your learning by developing a well-rounded, professionally developed, artificial intelligence-driven software solution for a problem of modern relevance.
The final year prepares you for a graduate-level job in the computing, artificial intelligence, and data science industry.
Would you like to watch a video instead to learn more about the course? Here is the link to the descriptive video of the course:
Discover the course more engagingly through visual learning.
Course Structure
Year 1
Module Name | Credit Value |
---|---|
Computer Systems | 20 |
Website Design and Development | 20 |
Data Structures and Algorithms | 20 |
Innovation Project | 20 |
Computer Programming | 20 |
Introduction to Artificial Intelligence | 20 |
Year 2
Module Name | Credit Value |
---|---|
Object Oriented Programming | 20 |
Database and Web Application Development | 20 |
Artificial Intelligence and Machine Learning | 20 |
Cyber Security | 20 |
Software Design | 20 |
Data Management and Machine Learning Operations | 20 |
Year 3
Module Name | Credit Value |
---|---|
Professional Placement Year | 120 |
Year 4
Module Name | Credit Value |
---|---|
Deep Neural Networks and Ethics | 20 |
Modern Data Stores and Data Protection | 20 |
Natural Language Processing | 20 |
Cloud Computing | 20 |
Individual Honours Project | 40 |
Course Provided By:
Birmingham City University (BCU)
Entry Requirements
- Students must complete the grade 12 exam conducted by the National Exam Board (NEB) or equivalent with an aggregate score ≥ 3.0 CGPA
- For A-Levels, a minimum of 3.0 credits with at least a grade of D and above (112 UCAS points or above)
- Applicants must demonstrate their English proficiency with a minimum of Grade B or above in English at Grade 12 and BCU EPT Listening and Speaking Test (each band 5.5)
OR
BCU-recognized English Tests: IELTS/TOEFL/PTE/ELLTS –6.0 overall with 5.5 minimum in all bands
Enhancing your employability skills
You will learn of range of skills which will be key to enhancing your future employability.
Specifically, you will learn to:
- Develop software solutions to real-world problems.
- Use a range of modern techniques to engineer software products.
- Understand the role, and techniques, and application of artificial intelligence in modern software systems and their societal impact.
- Implement the deployment pipeline of artificial intelligence and machine learning-based software systems.
- Work independently and collaboratively.
- Be a self-motivated, organized, effective learner.
- Communicate your work effectively via both oral and written communication skills.
Professional practice guidance will teach you a range of skills such as writing CVs and job applications, preparing for interviews; using social media and other platforms for self-promotion, presenting yourself and your work in a professional framework using a range of appropriate communication skills, such as various types of presentation software will also be practiced.
Graduate Jobs
The job opportunities for the graduates of BSc Computer Science with Artificial Intelligence are immensely broad because they can work in roles concerning software development as well as artificial intelligence and data science.
The graduates can apply for job roles such as:
- Software Developer
- Software Engineer
- Web Developer
- Computer Programmer
- Java Developer
- Python Programmer
- Computer Scientist
- Machine Learning Engineer
- Machine Learning Scientist
- Artificial Intelligence Engineer
- Artificial Intelligence Developer
- Data Scientist
- Data Engineer
- Backend Developer
- Analyst
- Machine Learning Operations Engineer
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