MSc Data Science with advanced practice

Postgraduate Programs: For postgraduate programs, international students are required to meet the following entry requirements:

1. Academic Qualifications: Students should hold a relevant undergraduate degree or equivalent qualification from a recognized institution with a minimum overall score of 50% or above. The specific entry requirements may vary depending on the chosen course. It is recommended to refer to the university's official website or contact the admissions office for detailed information on course-specific requirements.

2. English Language Proficiency: International students whose first language is not English are required to demonstrate their English language proficiency. The minimum English language requirements for postgraduate programs at Teesside University are the same as for undergraduate programs:

   • IELTS: Overall score of 6.5, with no component below 6.
   • TOEFL: Overall score of 80, with a minimum score of 17 in each section.
   • PTE: Overall score of 55, with no section below 51.

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.

Teesside University in the United Kingdom offers a range of scholarships and funding opportunities to support international students in their academic journey. These scholarships aim to recognize academic excellence, promote diversity, and provide financial assistance to students who demonstrate exceptional talent and potential. 

1. Vice-Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional international students who demonstrate outstanding academic achievements. The scholarship covers a portion of the tuition fees for the duration of the program and is open to both undergraduate and postgraduate students.
2. International Scholarship: Teesside University offers a range of international scholarships that provide financial assistance to international students. These scholarships are merit-based and awarded on the basis of academic performance. The value of the scholarship may vary depending on the applicant's qualifications and level of study.
3. Country-Specific Scholarships: Teesside University offers scholarships tailored to students from specific countries or regions. These scholarships aim to promote diversity and provide financial support to students from underrepresented regions. The eligibility criteria and application process may vary depending on the specific scholarship.
4. Alumni Scholarship: Teesside University offers a scholarship exclusively for its alumni who wish to pursue further studies at the university. This scholarship recognizes the loyalty and achievements of Teesside graduates and provides financial assistance to support their educational goals.
5. External Scholarships: In addition to the university-specific scholarships, international students at Teesside University can explore external scholarship opportunities. There are various organizations, foundations, and government bodies that offer scholarships for international students studying in the UK. Teesside University provides guidance and support to help students identify and apply for these external scholarships.

It is important to note that the availability and eligibility criteria for scholarships may vary from year to year.

Graduates of the MSc Data Science program with advanced practice from Teesside University have promising career prospects in various sectors related to data science, analytics, and decision-making. 

1. Data Scientist: Analyzing data to derive insights, develop predictive models, and support data-driven decision-making in organizations.

2. Machine Learning Engineer: Designing and implementing machine learning algorithms and models to solve complex problems and make predictions.

3. Data Analyst: Collecting, cleaning, and analyzing data to provide actionable insights and inform business strategies.

4. Business Intelligence Analyst: Developing dashboards and reports to visualize data and assist organizations in making informed decisions.

5. Big Data Engineer: Managing and processing large datasets using big data technologies such as Hadoop and Spark.

6. Data Engineer: Building and maintaining data pipelines and infrastructure to ensure the efficient flow of data.

7. AI/ML Researcher: Conducting research in artificial intelligence and machine learning, contributing to advancements in the field.

8. Data Consultant: Providing expertise and guidance to organizations on data strategy, analytics, and implementation.