Master big data technologies and advanced analytics with a UK-validated Computer Science degree. Transform massive datasets into actionable insights to lead tomorrow's digital economy.
The course will provide you with academic and technical skills to analyse, interpret and make sense of the huge amount of ubiquitous data created daily. It will enable you to meet the demands of tomorrow’s information society.
– Learn how large amounts of distributed, diverse and linked data is relevant to all companies and organisations, whatever their size
– Study data management, infrastructures, search and mining, presentation and visualisation, security and privacy
– Develop your collaborative and communication skills as you work in lively, enthusiastic groups
– Gain a critical understanding of the phenomenon of large-scale data repositories
– Explore career opportunities with our many domestic and international industry contacts
– Challenge yourself with practical projects that provide the opportunity to use your newly acquired knowledge
– Benefit from the teaching expertise of research staff on a course that meets the needs of both academia and industry
Data Scientist, Big Data Engineer, Data Analyst, Machine Learning Specialist, Data Architect, Information Security Analyst, Business Intelligence Developer, Systems Specialist
Completion of the Diploma in Computing and Data Science Level 4 and Advanced Diploma in Computing and Data Science Level 5 (equivalent to HND) of the STIMU programme will allow entry onto the Level 6 award.
Holders of other Level 5 awards in a relevant disciplines will be considered for entry to Level 6
Applicants with relevant work experience may be considered on a case-by-case basis for Recognition of Prior Learning (RPL)
IELTS (5.5 overall, 5 individual) or equivalent qualifications
| Unit Code | Level | Credit | Unit Name | Core / Option |
|---|---|---|---|---|
| BE1101 | 3 | 15 | Mathematics I | Core |
| PH1106 | 3 | 15 | Personal Professional Development | Core |
| CS 1105 | 3 | 15 | IT and Programming Fundamentals | Core |
| CS 1103 | 3 | 15 | Digital Fundamentals | Core |
| BE2101 | 3 | 10 | Mathematics II | Core |
| CS 1107 | 3 | 15 | Human Computer Interaction | Core |
| CS 1104 | 3 | 15 | Fundamentals of Computer Studies | Core |
| CS 1106 | 3 | 15 | Python Programming | Core |
| ENG 1101 | 3 | Proficiency in English (Intermediate) | Option |
| Unit Code | Level | Credit | Unit Name | Core / Option |
|---|---|---|---|---|
| CS2101 | 4 | 15 | Computational Mathematics | Core |
| CS2102 | 4 | 15 | Mathematics of Data | Core |
| CS2103 | 4 | 15 | Database Systems Design & Development | Core |
| CS2107 | 4 | 15 | Data Structure and Algorithms (Add additional syllabus contents for DS) + OOP | Core |
| CS2108 | 4 | 15 | Operations Research & Stochastic Processes | Core |
| CS2109 | 4 | 15 | Software Development Engineering | Core |
| CS 2110 | 4 | 15 | Information Systems Governance, Ethics and Sustainability | Core |
| CS 2111 | 4 | 15 | Robot Principles, Design and Artificial Intelligence | Core |
| ENG 2101 | 4 | Proficiency in English (Intermediate Plus) SEM 1 Proficiency in English (IELTS) SEM 2 | Option |
| Unit Code | Level | Credit | Unit Name | Core / Option |
|---|---|---|---|---|
| CS 3101 | 5 | 15 | Dynamic Web and Mobile Application Development | Core |
| EE 3102 | 5 | 15 | Computer Networks and Information Security Management | Core |
| CS 3102 | 5 | 15 | Machine Learning and Deep Learning | Core |
| CS 3108 | 5 | 15 | Data Engineering and Modern Data Platform | Option |
| CS 3109 | 5 | 15 | Distributed System and Introduction to Blockchain | Option |
| CS 3110 | 5 | 15 | Big Data Analytics and Data Visualization | Core |
| CS 3111 | 5 | 15 | Artificial Intelligence Technologies and Applications | Core |
| CS 3112 | 5 | 15 | Cloud Computing and DevOps | Core |
| CS 3113 | 5 | 15 | Research Methods and Applied Computing Project | Core |
| ENG 3101 | 5 | English for Academic Purposes (IELTS) SEM 1 English for Academic Purposes (Academic Writing) SEM 2 | Option |
| Unit Code | Level | Credit | Unit Name | Core / Option |
|---|---|---|---|---|
| CIS013-3 | 6 | 30 | Research Methodologies and Emerging Technologies | Core |
| CIS017-3 | 6 | 30 | Undergraduate Project | Core |
| CIS045-3 | 6 | 30 | Distributed Service Architectures | Core |
| CIS047-3 | 6 | 30 | Agile Project Management | Core |
Duration
3 years full-time
Intake
March
Awarding Body
University Of Bedfordshire
Tuition
Contact admissions for current fee schedule