MSc International Events Management with Internship
The MSc International Events Management program at Manchester Metropolitan University i...
BSc (Hons) AI and Data Science
Manchester
INTAKE: September
Program Overview
The BSc (Hons) AI and Data Science program at Manchester Metropolitan University (MMU) is designed to equip students with the knowledge and skills needed to excel in the rapidly growing fields of artificial intelligence (AI) and data science. This program combines theoretical foundations with practical applications, preparing students for careers in industries such as technology, finance, healthcare, and beyond.
Curriculum: The curriculum of the BSc (Hons) AI and Data Science program at MMU covers a wide range of topics essential for understanding AI algorithms, machine learning techniques, and data analytics methods. Students study modules in areas such as programming languages (Python, R), statistical analysis, data visualization, machine learning, deep learning, natural language processing, and big data technologies. Additionally, the program may include courses in ethics, privacy, and legal considerations in AI and data science. The curriculum is designed to blend theoretical knowledge with hands-on practical experience, project work, and industry-relevant case studies, enabling students to develop problem-solving skills and apply AI and data science techniques to real-world challenges.
Research Focus: MMU places a strong emphasis on research within the BSc (Hons) AI and Data Science program, encouraging students to engage in innovative research projects and contribute to advancements in the field. Through research-led teaching and coursework assignments, students develop research skills, experimental techniques, and critical thinking abilities. Research topics may include AI applications in healthcare, predictive analytics for financial markets, computer vision for autonomous systems, or ethical considerations in AI development. Students have access to state-of-the-art laboratories, computing facilities, and research centers, where they can conduct experiments, simulations, and prototype development under the guidance of experienced faculty members.
Industry Engagement: Manchester Metropolitan University maintains close links with industry partners, technology companies, and research institutions, providing students with opportunities for industry engagement and professional development. Guest lectures, industry workshops, and networking events allow students to learn from industry experts, gain insights into industry practices, and explore career pathways in AI and data science. Additionally, the university may offer placement opportunities or internship programs, enabling students to gain valuable work experience and build industry connections. These industry engagements help students develop practical skills, understand industry requirements, and enhance their employability upon graduation.
Global Perspective: In today's interconnected world, understanding global trends, cultural diversity, and international collaborations is essential for AI and data science professionals. The BSc (Hons) AI and Data Science program at MMU incorporates a global perspective by addressing topics such as global data ethics, cross-cultural data analysis, and international AI regulations. Students learn about AI applications in different industries and regions, explore ethical and societal implications of AI technologies, and analyze global datasets for insights into global trends and patterns. MMU's diverse student body and international faculty further enrich the global learning experience, providing opportunities for cross-cultural exchange and collaboration on AI projects with global significance.
Location
Manchester
Score
IELTS 6
Tuition Fee
£ 18500
Undergraduate Entry Requirements
Academic Qualifications: International students applying for undergraduate programs at MMU are typically required to have a minimum academic qualification of 65% or above in their previous studies. This may vary depending on the specific course and country requirements.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 88, with at least 17 in Listening, 18 in Reading, 17 in Speaking, and 20 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 59.
- Some programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Scholarships provide opportunities for talented students to pursue their studies at Manchester Metropolitan University.
Vice-Chancellor's International Scholarship: This prestigious scholarship is awarded to high-achieving international students who demonstrate exceptional academic performance. The scholarship offers a partial tuition fee waiver of up to £5,000.
International Undergraduate Scholarships: MMU offers a range of undergraduate scholarships for international students. These scholarships provide financial assistance towards tuition fees, with values ranging from £2,000 to £5,000.
Country-Specific Scholarships: MMU offers scholarships specifically tailored to students from certain countries or regions. These scholarships may have specific eligibility criteria and provide financial assistance to support students from specific geographic areas.
Sports Scholarships: MMU recognizes the achievements of talented athletes and offers sports scholarships to support their academic and sporting aspirations. These scholarships provide financial support and additional training opportunities for student-athletes.
External Scholarships and Funding: MMU also encourages international students to explore external scholarship opportunities offered by governments, organizations, and foundations in their home countries. The university provides guidance and support in accessing external funding options.
It is important to note that scholarship availability, criteria, and application deadlines may vary each year.
Graduates of the BSc (Hons) AI and Data Science program at Manchester Metropolitan University (MMU) have a wide range of career opportunities in industries such as technology, finance, healthcare, and beyond.
AI Engineer: Many graduates pursue careers as AI engineers, designing, developing, and implementing artificial intelligence solutions for various applications. AI engineers work on projects such as natural language processing, computer vision, recommendation systems, and autonomous vehicles. They develop AI algorithms, train machine learning models, and optimize performance for specific tasks and datasets.
Data Scientist: Some graduates may work as data scientists, leveraging data analytics techniques and machine learning algorithms to extract insights and make data-driven decisions. Data scientists analyze large datasets, identify trends and patterns, and develop predictive models to solve business problems. They work in industries such as e-commerce, finance, healthcare, and marketing, helping organizations optimize operations, improve products, and enhance customer experiences.
Machine Learning Engineer: Those with expertise in machine learning may pursue careers as machine learning engineers, specializing in the development and deployment of machine learning systems. Machine learning engineers design algorithms, preprocess data, train models, and deploy solutions in production environments. They work on projects such as fraud detection, personalized recommendations, and predictive maintenance, collaborating with cross-functional teams to deliver scalable and reliable solutions.
AI Researcher: Graduates interested in advancing the field of artificial intelligence may pursue careers as AI researchers, working in research institutions, universities, or technology companies. AI researchers conduct theoretical and applied research in areas such as deep learning, reinforcement learning, computer vision, and natural language processing. They publish papers, present findings at conferences, and contribute to the development of new algorithms and techniques that push the boundaries of AI.
Data Analyst: Some graduates may work as data analysts, focusing on the exploration, visualization, and interpretation of data to support decision-making processes. Data analysts extract insights from structured and unstructured data, create dashboards and reports, and communicate findings to stakeholders. They work in various industries, including finance, retail, healthcare, and government, helping organizations understand trends, identify opportunities, and mitigate risks.
Business Intelligence Developer: Those interested in the intersection of data and business may pursue careers as business intelligence developers, designing and building data pipelines, data warehouses, and business intelligence solutions. Business intelligence developers work with stakeholders to understand business requirements, design data models, and develop reports and dashboards that provide actionable insights. They work in companies of all sizes, helping decision-makers access and analyze data to drive strategic initiatives and improve performance.
AI Ethicist: Graduates concerned with the ethical implications of AI technologies may pursue careers as AI ethicists or AI policy analysts, working in organizations, think tanks, or government agencies. AI ethicists assess the social and ethical implications of AI applications, develop guidelines and policies for responsible AI development and deployment, and advocate for ethical practices and regulations. They work on issues such as bias, fairness, transparency, and accountability in AI systems.
Consultant or Advisor: Some graduates may work as consultants or advisors, providing expertise and guidance on AI and data science strategies, technologies, and implementations. Consultants work for consulting firms, technology vendors, or as independent contractors, advising clients on AI adoption, data governance, risk management, and regulatory compliance. They help organizations identify opportunities, overcome challenges, and maximize the value of their data assets and AI investments.
