MSc Data Science and Artificial Intelligence with a Year in Industry

Postgraduate Entry Requirements:

• Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
• English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
  • IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
  • TOEFL: A minimum overall score of 88, with at least 21 in Listening, Reading, Speaking, and Writing.
  • PTE Academic: A minimum overall score of 62 with no individual score below 51.
• Some postgraduate 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.

Work experience: Some postgraduate courses may require relevant work experience in the field.

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

The University of Liverpool offers a range of scholarships to support students in their academic pursuits and help make higher education more accessible. These scholarships are awarded based on various criteria, including academic merit, financial need, and specific eligibility requirements. 

1. Vice-Chancellor's International Attainment Scholarship: This scholarship is designed for international undergraduate and postgraduate taught students who demonstrate exceptional academic achievement. The Vice-Chancellor's International Attainment Scholarship provides a reduction in tuition fees for the duration of the program.
2. Sports Scholarships: The University of Liverpool offers sports scholarships to talented athletes who have achieved a high level of sporting excellence. These scholarships provide financial support, access to training facilities, specialized coaching, and other resources to help athletes balance their academic and sporting commitments.
3. International Scholarships for Research Excellence (ISRE): The ISRE scholarships are awarded to international students undertaking a Ph.D. or MPhil research program at the University of Liverpool. These scholarships provide financial support, covering full tuition fees and a stipend to support living expenses.
4. Subject-specific Scholarships: Various academic departments at the University of Liverpool offer subject-specific scholarships to outstanding students in particular fields. These scholarships aim to recognize academic excellence and support students in their chosen disciplines. Examples include scholarships for Engineering, Business, Medicine, and Social Sciences.
5. Merit Scholarships: The University of Liverpool offers merit scholarships to high-achieving undergraduate students who demonstrate exceptional academic performance. These scholarships are awarded based on academic merit and provide a reduction in tuition fees for each year of study.
6. Widening Participation Scholarships: The Widening Participation Scholarships are designed to support students from underrepresented backgrounds who may face barriers to accessing higher education. These scholarships aim to promote social mobility and provide financial assistance to eligible students.

It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.

Graduates of the MSc Data Science and Artificial Intelligence with a Year in Industry program are poised for exciting and impactful career opportunities within the realms of data science, AI, technology, and beyond. With their advanced data analysis and AI skills, practical industry experience, and hands-on expertise, they are prepared to contribute to various roles.

1. Data Scientist: Graduates can work as data scientists, analyzing large datasets, deriving insights, and developing predictive models to inform business decisions.

2. Machine Learning Engineer: With expertise in AI and machine learning, graduates can design and develop AI-powered applications, algorithms, and systems.

3. AI Researcher: Graduates can work as AI researchers, advancing the frontiers of artificial intelligence through cutting-edge research and innovation.

4. Business Intelligence Analyst: Graduates can work in business intelligence, using data-driven insights to inform strategies, optimize operations, and drive organizational growth.

5. Data Analyst: Graduates can specialize in data analysis, translating complex data into actionable insights that drive business improvements and inform decision-making.