MSc Accounting and Banking
The MSc Accounting and Banking program at Bangor University is designed to equip studen...
BSc (Hons) Data Science and Artificial Intelligence
Bangor
INTAKE: September
Program Overview
Bangor University offers a cutting-edge BSc (Hons) Data Science and Artificial Intelligence program, providing students with a comprehensive understanding of data analysis, machine learning, and artificial intelligence (AI). This program equips students with the skills and knowledge needed to thrive in the rapidly evolving fields of data science and AI.
Curriculum: The curriculum of the BSc (Hons) Data Science and Artificial Intelligence program at Bangor University is designed to cover a wide range of topics, including statistics, programming, machine learning algorithms, data visualization, and AI ethics. Students learn to collect, analyze, and interpret large datasets, develop AI models, and apply advanced techniques to solve real-world problems. Practical projects and hands-on experiences allow students to apply their knowledge in data analysis and AI development.
Research Focus: Bangor University is at the forefront of research in data science and artificial intelligence, with faculty members actively engaged in research projects in areas such as machine learning, natural language processing, computer vision, and AI ethics. Students enrolled in the BSc (Hons) Data Science and Artificial Intelligence program have the opportunity to participate in research initiatives, working alongside faculty members on cutting-edge projects and contributing to advancements in the field.
Industry Engagement: The university collaborates closely with industry partners, technology companies, and research institutions to provide students with valuable industry insights and networking opportunities. Guest lectures, industry seminars, and internships facilitate engagement with professionals working in data science, AI development, and related fields. Additionally, the program may offer placement opportunities for students to gain practical experience in industry settings, enhancing their employability upon graduation.
Global Perspective: The BSc (Hons) Data Science and Artificial Intelligence program at Bangor University adopts a global perspective, recognizing the international nature of data-driven technologies and AI applications. Students explore global trends in data science and AI, including developments in different regions, cultural implications, and ethical considerations. Study abroad programs, international collaborations, and research partnerships provide students with exposure to diverse perspectives and approaches in data science and AI, enhancing their global awareness and cross-cultural competency.
Location
Bangor
Score
IELTS 6
Tuition Fee
£ 17500
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- 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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
Bangor University offers a range of scholarships and financial support options to both domestic and international students. These scholarships aim to recognize and reward academic excellence, as well as support students from diverse backgrounds.
Vice-Chancellor Scholarships: These scholarships are awarded to exceptional students who have demonstrated outstanding academic achievements. They are available for undergraduate and postgraduate students across various disciplines.
Country-specific Scholarships: Bangor University offers scholarships specifically for students from certain countries or regions. These scholarships may have different eligibility criteria and application processes. Examples include the India Scholarships, Nigeria Scholarships, and Vietnam Scholarships.
Bangor International Scholarships: These scholarships are available for international students pursuing undergraduate or postgraduate studies. They are based on academic merit and can significantly contribute towards tuition fees.
Sport Scholarships: Bangor University offers scholarships for talented athletes who excel in sports. These scholarships provide financial support, training opportunities, and access to sports facilities.
Alumni Scholarships: Bangor University offers scholarships exclusively for its alumni who wish to pursue further studies at the university. These scholarships aim to encourage ongoing education and support the university's graduates.
Graduates of Bangor University's BSc (Hons) Data Science and Artificial Intelligence program are well-equipped to pursue a variety of rewarding career paths in the rapidly expanding fields of data science and artificial intelligence (AI).
Data Scientist: Data scientists analyze complex datasets to extract insights and make data-driven decisions. They develop predictive models, implement machine learning algorithms, and communicate findings to stakeholders. Graduates may work for technology companies, financial institutions, healthcare organizations, or government agencies.
Machine Learning Engineer: Machine learning engineers design and build machine learning systems that automate decision-making processes. They develop algorithms, optimize model performance, and deploy AI solutions in real-world applications. Graduates may work for tech startups, research labs, or large corporations.
Artificial Intelligence Developer: Artificial intelligence developers design and implement AI systems that mimic human cognitive functions. They work on tasks such as natural language processing, computer vision, and autonomous systems. Graduates may work for AI companies, robotics firms, or tech giants.
Data Engineer: Data engineers design and maintain the infrastructure for data storage, processing, and analysis. They develop data pipelines, build databases, and ensure data quality and reliability. Graduates may work for cloud computing companies, data warehousing firms, or software development teams.
Business Intelligence Analyst: Business intelligence analysts use data analysis techniques to help organizations make strategic decisions. They identify trends, monitor key performance indicators, and provide actionable insights to management. Graduates may work for consulting firms, marketing agencies, or corporate analytics teams.
Data Analyst: Data analysts collect, clean, and interpret data to help organizations understand trends and make informed decisions. They use statistical techniques and data visualization tools to present findings in a clear and understandable way. Graduates may work for healthcare providers, e-commerce companies, or research organizations.
AI Ethics Consultant: AI ethics consultants advise organizations on ethical considerations related to AI development and deployment. They assess the societal impacts of AI technologies, develop ethical guidelines, and ensure compliance with regulatory standards. Graduates may work for consulting firms, non-profit organizations, or government agencies.
Research Scientist: Research scientists conduct research in data science, AI, and related fields to advance the state of the art. They publish academic papers, collaborate with other researchers, and apply for research grants. Graduates may work in academia, research institutes, or corporate research labs.
Entrepreneur/Startup Founder: Some graduates may choose to start their own data science or AI-focused companies. They develop innovative products or services, secure funding, and build teams to bring their ideas to market. Graduates may work in areas such as AI-driven healthcare, predictive analytics, or autonomous vehicles.
