MSc in Data Science and Analytics

Postgraduate Programs:

• Academic Qualifications: For postgraduate programs, international students are generally required to hold a bachelor's degree or an equivalent qualification with a minimum overall score of 55% or above. Specific program requirements may vary, and some courses may have higher entry requirements.
• English Language Proficiency:
  • IELTS: A minimum overall score of 6.5, with no individual component score below 6.
  • TOEFL: A minimum overall score of 90-95, with a minimum score of 20 in each component.
  • PTE: A minimum overall score of 62-67, with no individual score 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.

The University of Hertfordshire offers a range of scholarships and financial assistance programs to support international students in pursuing their education. These scholarships are designed to recognize academic excellence, encourage diversity, and provide opportunities for students who may face financial barriers.

1. Vice-Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional international undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £4,000 for the duration of the course.
2. Regional Scholarships: The university offers several scholarships specifically for students from certain regions or countries. These scholarships vary in value and eligibility criteria, providing financial support to students from specific geographic areas.
3. Merit Scholarships: Merit-based scholarships are available for high-achieving international students. These scholarships recognize academic excellence and provide financial assistance towards tuition fees.
4. Sports Scholarships: The university encourages talented athletes to pursue their academic and sporting ambitions simultaneously. Sports scholarships are awarded to exceptional athletes who can demonstrate outstanding sporting achievements and commitment to their chosen sport.
5. Alumni Scholarships: The university offers scholarships for international students who have completed their undergraduate studies at the University of Hertfordshire and wish to pursue postgraduate studies. These scholarships provide financial support towards tuition fees.
6. Partnership Scholarships: The university has established partnerships with various organizations, institutions, and governments. Through these partnerships, international students may have access to specific scholarships and funding opportunities.
7. External Scholarships: The University of Hertfordshire also supports students in their search for external scholarships and funding sources. The dedicated scholarships team provides guidance and information on external scholarships that international students may be eligible to apply for.

It is important to note that each scholarship has specific eligibility criteria, application deadlines, and required documentation.

Upon completing the MSc in Data Science and Analytics program, graduates have a wide range of career prospects in the rapidly expanding field of data science.

1. Data Scientist: Graduates can work as data scientists, using their analytical skills to extract insights from data and support data-driven decision-making.

2. Business Analyst: Some may pursue careers as business analysts, helping organizations make informed strategic decisions based on data analysis.

3. Machine Learning Engineer: Those interested in artificial intelligence can become machine learning engineers, designing and implementing machine learning models.

4. Data Engineer: Graduates can work as data engineers, responsible for the collection, storage, and processing of data for analysis.

5. Data Analyst: Some may choose roles as data analysts, focusing on data visualization, reporting, and providing actionable insights to businesses.

6. Quantitative Analyst (Quant): Graduates can pursue careers in finance as quants, using data analysis to inform investment decisions.

7. Healthcare Analyst: Those interested in healthcare analytics can work in roles that involve analyzing medical data to improve patient care.

8. Research Scientist: For those passionate about research, opportunities exist in academia or research institutions, contributing to advancements in data science.