Mphill Data Science and Systems Modelling

Postgraduate Entry Requirements

Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 65% 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:

• IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.
• TOEFL: A minimum overall score of 92 on the TOEFL is accepted, with no sub-score in any section falling below 20.
• PTE Academic: A minimum overall score of 62 with no individual score below 59.
• 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.

Abertay University in the United Kingdom is providing a range of scholarships to support and recognize the achievements of international students. These scholarships are designed to enhance access to quality education and promote diversity within the university community.

Abertay International Scholarship: The Abertay International Scholarship is available for high-achieving international students applying for undergraduate or postgraduate programs.This scholarship offers a reduction in tuition fees, contributing to the overall affordability of education for deserving students.The selection process considers academic excellence, extracurricular achievements, and the potential to contribute to the university community.

Abertay Global Scholarship: The Abertay Global Scholarship is aimed at exceptional international students enrolling in undergraduate or postgraduate courses.This scholarship provides financial support in the form of a tuition fee reduction, making education at Abertay University more accessible to talented individuals from around the world.Eligibility criteria may include academic merit, leadership qualities, and a commitment to making a positive impact.

Commonwealth Shared Scholarship Scheme: Abertay University participates in the Commonwealth Shared Scholarship Scheme, offering opportunities for international students from eligible Commonwealth countries.The scheme typically covers tuition fees, travel expenses, and a stipend, enabling students to pursue their studies without financial constraints.This scholarship emphasizes the importance of collaboration and knowledge sharing among Commonwealth nations.

Research Project Scholarships: International students engaged in postgraduate research projects may be eligible for Research Project Scholarships.These scholarships are often linked to specific research initiatives within the university, providing financial support and opportunities for involvement in cutting-edge research.

The MPhil Data Science and Systems Modelling program at Abertay University equips graduates with advanced research skills and specialized knowledge in the dynamic fields of data science and systems modeling. This program, combining theoretical understanding with practical applications, opens doors to a diverse range of impactful and fulfilling career opportunities. 

Research Scientist in Data Science: Graduates may pursue roles as research scientists, contributing to cutting-edge advancements in data science by conducting original and impactful research in academia or research institutions.

Data Science Consultant: Careers in data science consulting involve providing expertise to organizations seeking data-driven solutions, offering insights to improve processes, and implementing innovative strategies.

Machine Learning Specialist: Graduates may specialize in machine learning, developing and deploying advanced algorithms that enable systems to learn from data, make predictions, and optimize processes.

Predictive Analytics Expert: Opportunities exist in predictive analytics, where graduates can apply advanced statistical models to forecast future trends, contributing to strategic decision-making in various industries.

Systems Modeling Analyst: Careers in systems modeling involve creating and optimizing mathematical models to simulate and analyze complex systems, contributing to efficient decision-making processes.

Optimization Engineer: Graduates may pursue roles in optimization, developing algorithms and models to streamline processes, enhance efficiency, and optimize resource allocation within complex systems.

Data Visualization Specialist: Careers in data visualization involve creating visual representations of data, making complex information accessible and understandable for decision-makers.

Environmental Systems Analyst: Opportunities exist in analyzing and modeling environmental systems, contributing to sustainable practices and addressing complex challenges related to climate change and resource management.

Healthcare Data Analyst: Graduates may explore careers in healthcare analytics, utilizing data to improve patient outcomes, enhance healthcare processes, and contribute to advancements in medical research.

Academic Researcher in Data Science: Careers in academia involve pursuing research and teaching in universities, contributing to the academic community by advancing knowledge and mentoring future generations of data scientists.

Entrepreneurial Ventures in Data Science: With a research-oriented approach, graduates may choose to start their own data science consulting firms or entrepreneurial ventures, addressing specific industry needs through innovative data-driven solutions.