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Faculty of Computing and Information Technology 3 years

BSc (Hons) Computer Science

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.

Program Overview

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

Career Pathways

Data Scientist, Big Data Engineer, Data Analyst, Machine Learning Specialist, Data Architect, Information Security Analyst, Business Intelligence Developer, Systems Specialist

Entry Requirements

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

What You'll Learn

  • Analyze, manage, and extract value from massive, distributed datasets across various organizational contexts
  • Design secure data infrastructures, storage systems, and interactive visualizations
  • Apply data mining and search techniques to solve complex computational problems
  • Collaborate in multidisciplinary teams to execute practical, industry-aligned data science projects.

Curriculum Structure

Units

Unit Code Level Credit Unit Name Core / Option
NEWCIS008-3 - 30 Distributed Service Architectures Core
NEWCIS010-3 - 30 Agile Project Management Core
NEWCIS012-3 - 30 Undergraduate Project in Computer Science Core

Duration

3 years full-time

Intake

March

Awarding Body

University Of Bedfordshire

Tuition

Contact admissions for current fee schedule

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