MSc Machine Learning in Science

Postgraduate Entry Requirements: For admission into postgraduate programs at the University of Nottingham, international students are generally required to meet the following criteria:

• Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 60% or above in their country's grading system. The specific entry requirements may vary depending on the chosen program of study. Some programs may have additional subject-specific requirements or prerequisite knowledge.

• 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.
  • TOEFL: A minimum overall score of 90, with at least 17 in Listening, 17 in Reading, 20 in Speaking, and 18 in Writing.
  • PTE Academic: A minimum overall score of 72 with no individual score below 65.
• 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.

Scholarships for International Students at the University of Nottingham:

1. International Excellence Scholarship: The University of Nottingham offers the International Excellence Scholarship to high-achieving international students. This scholarship is merit-based and provides a tuition fee reduction of up to £4,000 for postgraduate students.
2. Developing Solutions Scholarships: The Developing Solutions Scholarships are targeted at students from developing countries. These scholarships cover full tuition fees and provide additional support for living expenses. The aim of these scholarships is to empower students from disadvantaged backgrounds and enable them to make a positive impact in their home countries.
3. Sports Scholarships: The university recognizes the importance of sports and offers Sports Scholarships to exceptional athletes. These scholarships provide financial support to talented sportsmen and sportswomen, helping them balance their sporting commitments with their academic studies.
4. Nottingham Global Scholarships: The Nottingham Global Scholarships are awarded to outstanding international students across various academic disciplines. These scholarships provide financial assistance in the form of a tuition fee reduction.
5. Research Scholarships: The University of Nottingham offers a range of scholarships specifically for international students pursuing research degrees (Ph.D. or MRes). These scholarships provide funding to cover tuition fees and living expenses, allowing students to focus on their research projects.
6. Country-Specific Scholarships: The university also offers scholarships specifically tailored to students from certain countries. These scholarships may be based on academic merit, leadership potential, or specific criteria defined by the sponsoring organizations or governments.
7. Alumni Scholarships: The University of Nottingham values its alumni and offers scholarships exclusively for students who have completed a previous degree at the university. These scholarships provide financial support for further studies at the university.

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

Graduates of the MSc Machine Learning in Science program from the University of Nottingham have excellent career prospects in various industries and research domains. 

1. Data Scientist: Graduates can pursue careers as data scientists, applying machine learning techniques to extract insights from large datasets and develop predictive models for scientific applications.

2. Research Scientist: Graduates can work as research scientists in academic institutions, research labs, or private companies, conducting cutting-edge research in machine learning and its applications in scientific domains.

3. AI Engineer: Graduates can specialize in artificial intelligence (AI) and work as AI engineers, developing and implementing machine learning algorithms and models for scientific analysis and prediction.

4. Data Analyst: Graduates can work as data analysts, collecting, cleaning, and analyzing scientific data using machine learning techniques to uncover patterns and trends.

5. Computational Biologist: Graduates with a background in biology can apply machine learning in bioinformatics and computational biology, assisting in genomic analysis, drug discovery, and personalized medicine.

6. Environmental Scientist: Graduates can apply machine learning to environmental science, analyzing large environmental datasets and developing models for climate prediction, natural resource management, and pollution monitoring.

7. Consulting: Graduates can work as consultants, providing expertise in machine learning and scientific applications to organizations in various industries, helping them leverage data for better decision-making and optimization.

8. Further Study: Graduates can pursue a Ph.D. in machine learning or related fields, deepening their research skills and contributing to the advancement of the field.