BSc (Hons) Data Science and Artificial Intelligence

Program Overview

Bournemouth University's BSc (Hons) Data Science and Artificial Intelligence program equips students for careers in advanced data analytics and AI. The program emphasizes versatility in machine learning tools, applied technical skills, and industry-focused projects. Students gain valuable work experience through an optional placement year and graduate with the qualifications to excel in data science roles across various sectors.

Program Outline

Objectives:

• Develop versatility and personal qualities to select, use, and combine various machine learning tools, technologies, and methods to meet dynamic data analytical demands in a global context.
• Build and improve applied technical skills to implement, apply, and optimize machine learning algorithms such as deep learning and neural networks, as well as developing real-world industry-inspired data applications for any organization.
• Engage in practical industry-focused tasks and co-participate in research projects with BU staff, experts from other institutions, and industries in the UK and beyond.
• Study and practice in state-of-the-art speciality labs with enterprise-grade hardware and fully virtualization-ready enterprise-level infrastructure.
• Gain valuable work experience on a placement (optional), entering an industry with huge predicted growth in the next decade.
• Be qualified to work as a Data Science professional in all sectors where data analytics plays a critical role.

Outline:

Foundation Year (Optional):

• This year is for students who do not meet the entry requirements for the degree course.
• It provides a grounding in technical skills required for the course, building confidence, knowledge, and skills for further study.
• Core Units:
• Introduction to Computers
• Introduction to Programming
• Foundation Year Engineering and Technology Project

Year 1:

• Core Units:
• Computer Fundamentals
• Mathematics for Computing
• Programming
• Data Management
• Introduction to Business Analytics
• Elective Units:
• Computing and Society

Year 2:

• Core Units:
• Big Data Engineering and Analytics
• Machine Learning
• System Analysis and Design
• Data Structures and Algorithms
• Technological Innovations in Business Analytics
• Elective Units:
• Software Business

Optional Placement Year:

• A minimum 30-week work placement can be carried out anywhere in the world.
• Offers a chance to gain experience and make contacts for the future.
• Students can opt out of the placement year to complete the degree in three years.

Final Year:

• Core Units:
• Deep Learning and Applications
• Data Visualisation and Storytelling
• Individual Project
• Option Units:
• Computability and Complexity
• Human Computer Interaction
• Software Quality Assurance
• Systems Development
• Elective Units:
• Digital Futures

Assessment:

• Details of assessment methods and contact hours for each unit are found in the programme specification.

Teaching:

• Taught by a range of staff with relevant expertise and knowledge appropriate to the content of the unit.
• Includes senior academic staff, qualified professional practitioners, demonstrators, technicians, and research students.
• Regular guest lectures from industry.

Careers:

• IT plays an ever-increasing role in all aspects of life, and businesses are always looking for professionals with the skills and drive to succeed in this fast-paced and ever-evolving industry.
• This degree provides the technical knowledge needed to get ahead, as well as a good grasp of management in an IT setting.
• Data science and artificial intelligence are predicted to see huge growth in the next decade across almost all industries, putting graduates in high demand.
• Career opportunities include:
• Data Scientist
• Data Analyst
• Data Architect
• Typical starting job roles:
• Digital Project Manager
• IT Analyst
• Software Developer
• Web Developer
• Example employers:
• Accenture
• Airmax
• Altaire Ltd
• Bank of America
• Bistech
• BT
• Capgemini
• Codepainters
• Ebase Technology Ltd
• FDM Group
• Gamma
• Geeks Ltd
• Hewlett Packard
• IBM
• Kingfisher IT Services
• Matrix Solutions
• Redweb
• Siemens
• Squire Technologies
• Unity5
• Urban Science
• Web Reality

Other:

• The course is predominantly technical, especially in the first and second years.
• Students need a deep and abiding interest in computing and IT, and in the use of computer technologies to create effective and efficient solutions that meet the needs of end users.
• Students need to be hard-working, committed to their studies, good team players, and able to communicate effectively both verbally and in writing.
• The university provides industry-standard specialist facilities for practical learning.
• The university has a strong commitment to widening access and welcomes applications from students with a range of backgrounds and experiences.
• The university offers a range of scholarships and bursaries to help students fund their studies.