MSc Data Science

Postgraduate Entry Requirements:

• Academic Qualifications: For postgraduate programs, international students are generally required to have a minimum academic qualification of 55% or above in their previous studies. However, some courses may have specific requirements or higher entry criteria.
• 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 95, with at least 19 in Listening, 19 in Reading, 20 in Speaking, and 19 in Writing.
  • PTE Academic: A minimum overall score of 67 with no individual score below 58.
• 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 provide opportunities for talented students to pursue their studies at Manchester Metropolitan University. 

1. 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.
2. International Postgraduate Scholarships: MMU provides postgraduate scholarships to international students undertaking master's degree programs. These scholarships offer financial support towards tuition fees, with amounts ranging from £2,000 to £5,000.
3. 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.
4. 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.
5. 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 MSc Data Science program at Manchester Metropolitan University are well-prepared for diverse and exciting career opportunities in the data science field. 

1. Data Scientist: Graduates can work as data scientists, using their skills to analyze data, build predictive models, and drive data-driven decision-making within organizations.

2. Machine Learning Engineer: Professionals in this role focus on developing machine learning models and algorithms for applications like recommendation systems, image recognition, and natural language processing.

3. Data Analyst: Data analysts are responsible for collecting, cleaning, and analyzing data to provide insights that inform business strategies and decisions.

4. Big Data Engineer: Graduates with expertise in big data technologies can work as big data engineers, managing and processing large datasets using tools like Hadoop and Spark.

5. Business Intelligence Analyst: These professionals create reports, dashboards, and visualizations to help organizations make data-driven decisions.

6. Data Consultant: Data consultants work with organizations to assess their data needs, develop data strategies, and implement data solutions.

7. Data Privacy Officer: As data privacy becomes increasingly important, some graduates may specialize in ensuring organizations comply with data protection regulations.

8. Research Scientist: Those interested in research can pursue roles in academia or research institutions, contributing to advancements in data science.

9. Data Science Manager: With experience, graduates can progress to managerial roles, overseeing data science teams and strategies within organizations.

10. AI Specialist: Professionals in this field focus on developing and deploying artificial intelligence solutions in areas like robotics, autonomous vehicles, and healthcare.