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3 Years On Campus Bachelors Program
Manchester Metropolitan UniversityThis degree equips you with both strong technical expertise—covering programming, statistics, and big data—and sharp analytical, problem-solving skills. You’ll learn to tackle real-world challenges using AI and data science. It’s perfect for those who enjoy maths and computing and want to apply their skills in areas like health, climate, marketing, or technological innovation.
Curriculum Structure
Year 1
In your first year, you’ll build a solid foundation. You’ll study programming, databases, mathematics, and statistics, while also learning the principles and practice of data science. You’ll get hands-on experience with modules like “Mathematics for Computing,” “Databases,” and “Principles and Practice of Data Science,” all while developing key study, communication, and teamwork skills.
Year 2
In the second year, you’ll dive deeper into technical topics. You’ll cover algorithms and data structures, applied predictive modelling, and advanced machine learning. You’ll also explore alternative database models and other AI-focused subjects. This year is all about sharpening and specialising your technical skills.
Final Year (Year 3)
In your final year, you’ll tackle complex topics such as deep learning, big data, and high-performance computing. You’ll also undertake a large-scale technical project, giving you the chance to apply everything you’ve learned to a meaningful challenge. Alongside this, you’ll refine your communication and teamwork skills, preparing for professional roles or further study.
Focus Areas
Programming · Statistics & Mathematics · Machine Learning & Predictive Modelling · Database Technologies · Big Data & High-Performance Computing · Real-world Applications
Learning Outcomes
By the end of the degree, you’ll be confident in acquiring, cleaning, managing, and analysing data. You’ll have the skills to build predictive and AI models, think computationally and statistically, work with large datasets, collaborate on projects, and communicate your findings effectively. You’ll be ready to apply these skills in diverse areas like health, climate, transportation, and marketing.
Professional Alignment
While there’s no formal professional accreditation, the course is clearly designed with industry in mind. It provides highly relevant technical skills, optional placements, and strong links to tech and digital sectors in Manchester.
Reputation and Employability
Students report high satisfaction with the course: around 77% say the teaching is good, and 78% appreciate the learning opportunities. Computing graduates from the university typically earn around £28,000 within 15 months of graduating. The university has also invested over £115 million in modern facilities, including state-of-the-art labs, studios, and computing/maths spaces.
This program emphasizes experiential learning through:
Specialist Laboratories: Students get hands-on experience in high-performance computing labs equipped with the latest industry-standard software, preparing them for real-world AI and data science challenges.
Internships and Placements: Opportunities to work with leading companies allow students to apply their knowledge in professional settings, build practical skills, and expand their industry network.
RISE Digital Initiative: Students can earn academic credit for extracurricular activities, such as internships, skill development courses, and online certifications, making learning flexible and rewarding.
Industry-Standard Software: Exposure to cutting-edge tools and technologies ensures students are familiar with the systems and platforms used by top AI and data science professionals.
Collaborative Projects: Group projects simulate real-world scenarios, encouraging teamwork, problem-solving, and innovation.
Career Services: Access to award-winning support helps students navigate career planning, applications, assessments, and interviews with confidence.
These experiences equip graduates with the practical skills, industry knowledge, and professional confidence needed to thrive in the fast-evolving field of AI and data science.
Future Progression & Opportunities:
Graduates of BSc (Hons) AI and Data Science are highly sought after, equipped with the skills to tackle real-world challenges in AI, machine learning, and data analytics. Typical roles include Data Analyst, AI Developer, and Business Intelligence Specialist:
Career support: The university’s Careers and Employability Service provides one-to-one guidance, CV workshops, interview preparation, and access to exclusive job listings tailored to AI and data science fields.
Employment stats & salaries: Graduates typically secure roles within six months of finishing, with starting salaries often ranging between £25,000–£35,000, depending on role and sector.
Industry partnerships: MMU maintains strong collaborations with tech companies and organizations, offering placements, live projects, and networking opportunities to give students hands-on experience.
Accreditation value: The program aligns with professional standards in AI and data science, adding long-term value to your degree and enhancing employability.
Graduation outcomes: Alumni progress into a range of sectors including finance, healthcare, technology, and consultancy, with many moving into specialist AI or data-driven roles.
Further Academic Progression:
Graduates can continue their studies with postgraduate programs such as MSc Artificial Intelligence, MSc Data Science, or professional certifications in machine learning and advanced analytics, opening doors to leadership roles or specialized technical careers.
GCE A levels - grades BBB, to include minimum grade B in one of the following subjects: IT, Computer Science, Mathematics, CCEA Digital Technology, Software Systems Development or a science subject.IB Diploma - Pass overall with a minimum overall score of 30 or minimum 120 UCAS Tariff points from three Higher Level subjects, including HL5 in at least one of IT, Computing. Mathematics or a science subject.IELTS 6.0 overall with no component below 5.5, taken within two years of course start dateTOEFL: Overall score: 79 With no individual test score below: Listening: 17 Reading: 18 Speaking: 20 Writing : 17For Indian Applicants: Standard XII English State Boards with a score of 70% or above as an alternative to IELTS: CBSE CISCE (ISC)Standard XII English State Boards with a score of 80% or above as an alternative to IELTS: Maharashtra Tamil Nadu West BengalFor US applicants: Overall pass of 2.8 GPA from High School Diploma; Plus 1 of the following listed below:SAT – minimum between 600 and 650 in each component. OR AP tests – between 333 and 444. OR ACT – composite score between 26 and 28. OR Successfully complete 1 year of university / college / Associate Degree with GPA 2.8 or above.Data ScientistMachine Learning EngineerArtificial Intelligence EngineerData AnalystBusiness Intelligence AnalystData EngineerResearch Scientist (AI/ML)Risk AnalystComputer Vision EngineerNatural Language Processing EngineerQuantitative AnalystSoftware Developer (AI/ML)Big Data SpecialistRobotics EngineerCloud Data Architect
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