BSc (Hons) Data Computing Intelligence with Foundation Year

Program Overview

This cutting-edge program equips students with the skills and knowledge to create intelligent systems and applications, analyze vast amounts of data, and make data-driven decisions. Graduates are prepared for careers in data analytics and computer intelligence, where they can leverage data to drive innovation and progress. The program combines lectures, seminars, and practical labs, and utilizes the CDIO education model to emphasize creativity and problem-solving.

Program Outline

Degree Overview:

Objectives:

• Equip students with the skills and knowledge necessary to create intelligent systems and applications.
• Enable organizations to make data-driven decisions and gain a competitive edge in the digital age.
• Prepare students for a successful career in the rapidly growing field of data analytics and computer intelligence.

Description:

• Cutting-edge course focusing on artificial intelligence and data analytics.
• Covers topics such as data analysis, building intelligent systems, and ethical considerations.
• Prepares graduates to be sought-after professionals at the forefront of technological advancements.
• Helps students play a pivotal role in shaping the AI-driven world and making a positive impact on society.
• Offers strong industry connections and hands-on experiences to equip students for revolutionizing industries, leading innovation, and driving progress in artificial and data intelligence.

Outline:

Program Content:

• Focuses on developing the skills and knowledge necessary to create intelligent systems and applications.
• Covers topics such as data analysis, building intelligent systems, and ethical considerations.
• Includes a unique opportunity to delve into the cutting-edge fields of AI and data analytics.

Program Structure:

• Four-year program with a potential foundation year for those who do not meet the entry requirements.
• Combines lectures, seminars, and practical labs for a well-rounded learning experience.
• Consists of a blend of online and face-to-face learning.

Course Schedule:

• Typically involves around 12 contact hours per week with an additional 4 hours of group coordination.
• Labs emphasize working in small groups to discuss and develop understanding of topics.
• Final year includes independent research for a dissertation with regular supervisor guidance.

Individual Modules:

• Core Modules:
• Computing in Society
• Programming Concepts
• Working with Software
• Advanced Mathematics
• Optional Modules:
• Additional modules available depending on student interests and career goals.

Assessment:

• Primarily assessed through coursework and project work, with some modules also including class tests.
• Coursework is mainly practically oriented with theoretical elements for a well-rounded education.
• Primarily individual assessments with some group work in specific modules.
• Utilizes various assessment methods including software artifacts, project documents, reports, presentations, and individual studies/projects.
• Formative feedback provided throughout the course.

Teaching:

• Utilizes the pioneering CDIO education model developed by MIT in collaboration with businesses.
• Emphasizes creativity and problem-solving through real-world inspired projects.
• Teaches through a combination of lectures, seminars, and practical labs.
• Provides a blended learning experience with online and face-to-face elements.
• Led by highly qualified academics with doctoral or professional qualifications and industrial experience.
• Postgraduate students assist in teaching and assessing some modules.

Careers:

• Prepares graduates for diverse career paths in data analytics and computer intelligence.
• Potential career options include:
• Data Analyst
• Business Intelligence Analyst
• Data Scientist
• Machine Learning Engineer
• Business Analytics Consultant
• Data Engineer
• Market Research Analyst
• Graduates become valuable assets for organizations seeking to leverage data.
• The course benefits from:
• Reduction in technology cost and processing time.
• Vast improvements in data collection and analysis.

• The 2024/25 annual tuition fees for this course are:
• UK
• Overseas
Full-time - Foundation Year 0 £9,250 £15,500 Full-time - years 1-3 £9,250 £15,500
• The tuition fees of £9,250 / £15,500 relate to 2024/25 only.

Home (UK) Fees

The fees above are for the 2024/25 academic year but may be subject to change following any announcements by the UK Government (approved by Parliament) regarding maximum Undergraduate tuition fee caps for 2024/25. In addition, the University reserves the right to increase all full-time and part-time Undergraduate tuition fees mid-course, in line with any further inflationary increase in the Government tuition fee cap which is approved by Parliament. Students with an Overseas fee status will be eligible for an International student Scholarship fee discount of £1,500, which will be applied to all Full-time Undergraduate courses with a tuition fee of £15,500.