Bachelor of Science with Honours Computer Science with Artificial Intelligence (Global) (Top-up) - BSc (Hons) *
Currently viewing course to start in 2024/25 Entry.
This course is aimed to produce computer scientists for roles such as computer programmer, software developer, website designer, and artificial intelligence and machine learning engineer...
- Level Undergraduate
- Study mode Full Time
- Award BSc (Hons)
- Start date September 2024
- Fees View course fees
- Subject
- Location Kaplan Higher Education Academy, Singapore
This course is:
Open to students in Singapore only
Overview
Course description
The Bachelor of Science with Honours Computer Science with Artificial Intelligence (Global) course is aimed to produce computer scientists for roles such as computer programmer, software developer, website designer, and artificial intelligence and machine learning engineer. Skilled in cyber security, cloud computing, deep learning, natural language processing and computer vision, graduates deliver high-value software solutions for modern economy.
Throughout the course, you will have opportunities to interact with a curriculum that is supported by commercial and industrial content and partners.
During this year, you will study cutting-edge techniques in modern computing, including deep neural networks, modern data stores, cloud computing and natural language processing.
Entry Requirements
Essential requirements
This degree programme accepts a wide range of qualifications, which include:
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Kaplan Diploma in a related discipline with at least 2 years of relevant work experience.1,2
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Local Polytechnic Diploma3 in a related discipline;
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Other qualifications3,4 in a related discipline may be considered on an individual basis.
1 1 For work experience to be considered, applicants must have been in roles where they are able to demonstrate significant exposure to computing or aspects of information technology.
2 Applicants admitted to the programme will be required to successfully complete bridging modules to fulfil the required prerequisite knowledge at RQF Level 5 equivalent.
3 Applicants admitted to the programme may be required to successfully complete bridging modules to fulfil the required prerequisite knowledge.
4 Equivalent to RQF Level 4 and RQF Level 5.
English requirements
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GCE O-Level English language subject (Grade C6 and above); OR
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IELTS 6.0 or equivalent
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For more information, see accepted qualifications.
In all cases, the final decision on admission to the programme rests with the University.
Fees & How to Apply
Guidance for UK students
UK students applying for most undergraduate degree courses in the UK will need to apply through UCAS.
The Universities and Colleges Admissions Service (UCAS) is a UK organisation responsible for managing applications to university and college.
Applying through UCAS
- Register with UCAS
- Login to UCAS and complete your details
- Select your course and write a personal statement
- Get a reference
- Pay your application fee and submit your application
Personal statement
UK / EU students are required to submit a personal statement as part of their application for this course.*
The personal statement gives you a crucial opportunity to say why you’re applying and why the institution should accept you.
Here are the key areas you’ll need to address:
- Course choice - Why does this course appeal? What areas are of particular interest?
- Career plans - If you have a specific career in mind, say how your chosen course will help you pursue this goal.
- Work experience - Mention any work that is relevant to your subject, highlighting the skills and experience gained.
- School or college experience - Highlight skills gained at school/college, eg summer schools or mentoring activities.
- Non-accredited skills or achievement - eg Duke of Edinburgh Award, Young Enterprise scheme.
You should also mention your future plans – if you’re planning to take a year out, don't forget to give your reasons. Talk about any subjects you’re studying that don’t have a formal assessment and any sponsorships or placements you’ve applied for. And don't be scared to add in details about your social, sports or leisure interests.
Worried about Personal Statements?
If you've got no idea where to start or just want to check you're on the right track, we’ve got expert advice and real examples from our students to help you nail your personal statement. You can even download our ultimate personal statement guide for free.
*Non-EU students are not required to submit a personal statement when applying for this course.
Course in Depth
Level 6
In order to complete this course, you must successfully complete all the following CORE modules (totalling 120 credits).
Deep learning (also called deep neural network) is a sub-field of Artificial Intelligence (AI), aiming at extracting knowledge automatically from large data sets in a hierarchical way.
Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain. Now well established and accepted in industry, deep learning provides both predictive and descriptive analytics solutions that can be applied to a wide range of applications from business to scientific and governmental applications.
As artificial intelligence gets widely adopted, its societal implications correspondingly deepen and broaden. Therefore, this module teaches the ethical implications of using artificial intelligence and will invite a critical assessment of such implications in the assessed work.
This module will introduce NoSQL databases and distributed data storage frameworks through practice based activities. Through guided hands-on tutorials, you will become familiar with techniques using non-structured and semi-structured data examples. Also, you will gain knowledge on managing and processing data in a distributed infrastructure. This module will improve your development skills and provide experience with many different data systems. Also, students will gain knowledge about protection of the data in NoSQL systems.
Natural Language Processing (NLP) is a rapidly developing field with broad applicability throughout the hard sciences, social sciences, and the humanities. The ability to harness, employ and analyse linguistic and textual data effectively is a highly desirable skill for academic work, in government, and throughout the private sector.
This module is intended as a theoretical and methodological introduction to the most widely used and effective current techniques, strategies, and toolkits for natural language processing.
The module will also consider how harnessing large digital corpora and large-scale textual data sources has changed how scholars engage with and evaluate digital archives and textual sources, and what opportunities textual repositories offer for computational approaches to the study of literature, history, and a variety of other fields, including law, healthcare, business, and the social sciences.
One of the major objectives of the computer science course is to introduce the theory, principles and technologies underlying the construction of modern computing systems. This module introduces Cloud Computing, which is the technology that enables on-demand computing resources (everything from applications to data centres) over the Internet.
This technology has revolutionised modern computing by allowing users to access infinite pool of computing services and resources on a pay-per-use basis. This module introduces the fundamental concepts and technologies related to cloud computing architecture, platforms and services. The module follows a practical approach to equip the students with hands-on experience of cloud computing by using a public Cloud service, such as Amazon Web Services.
The module provides a foundation for developing your computing research skills, preparing you to understand, critique, and engage with literature and methodologies employed in the computing domain. Your learning experience will be enhanced by producing an industrially relevant output that contributes academic value to the research base of your chosen industry.
This module enables you to understand the processes, scope and role when providing guidance or advice in a professional consulting capacity. It will also assist you if you join a larger organisation with the aspiration to become a leader and manager. The module provides awareness on the wider consulting profession and practice, the consulting role in computing and the management of client relationships. The focus will be to analyse and evaluate the frameworks, processes and techniques that computing consultants, managers and leaders apply.