MSc Data Science

Postgraduate Entry Requirements

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:

• IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.
• TOEFL: A minimum overall score of 88 on the TOEFL is accepted, with no sub-score in any section falling below 17.
• PTE Academic: A minimum overall score of 61 with no individual score below 51.
• 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.

Robert Gordon University (RGU) in the United Kingdom is fostering a diverse and inclusive academic environment by offering a variety of scholarships to support international students pursuing their higher education. These scholarships aim to recognize academic excellence, encourage diversity, and provide financial assistance to students from around the world.

International Achievement Scholarship: The International Achievement Scholarship at RGU is designed to reward outstanding international students who have demonstrated academic excellence in their previous studies. This merit-based scholarship provides financial support towards tuition fees for undergraduate and postgraduate programs.

Vice-Chancellor's Postgraduate Scholarship: For international students pursuing postgraduate studies, the Vice-Chancellor's Postgraduate Scholarship offers financial assistance based on academic merit. This scholarship is available across various disciplines, encouraging talented individuals to contribute to RGU's vibrant academic community.

RGU SPORT Scholarship: Recognizing the importance of sports and physical well-being, RGU offers the RGU SPORT Scholarship to international students who excel in sports. This scholarship supports athletes in balancing their academic and sporting, promoting a holistic approach to student life.

Santander Scholarships: In collaboration with Santander Universities, RGU provides Santander Scholarships to international students. These scholarships aim to facilitate educational opportunities, cultural exchange, and global perspectives by supporting students in various academic disciplines.

Commonwealth Shared Scholarship Scheme: RGU participates in the Commonwealth Shared Scholarship Scheme, offering international students from eligible Commonwealth countries the chance to pursue master's level studies. This scheme covers tuition fees, travel, and living expenses, promoting access to higher education for students with limited financial means.

Graduates of the MSc Data Science program at Robert Gordon University possess a versatile skill set, making them well-suited for diverse and high-demand roles in the field of data science. With a strong foundation in data analytics, machine learning, and statistical modeling, graduates can explore rewarding career paths across various industries that heavily rely on data-driven insights.

Data Scientist: Graduates may pursue roles as data scientists, leveraging their skills to analyze complex datasets, extract meaningful insights, and contribute to informed decision-making within organizations.

Machine Learning Engineer: Careers in machine learning engineering involve graduates developing and implementing machine learning models, algorithms, and solutions to solve business challenges and enhance processes.

Data Analyst: Graduates can become data analysts, focusing on interpreting and visualizing data to provide actionable insights. They play a key role in helping organizations make data-driven decisions.

Business Intelligence Analyst: Careers in business intelligence involve graduates gathering, analyzing, and presenting business-related data to support strategic planning, performance monitoring, and decision-making.

Big Data Engineer: Graduates may explore roles as big data engineers, working on the design and development of systems to process and manage large volumes of data efficiently.

Data Engineer: Careers in data engineering involve graduates designing, constructing, and maintaining the architecture for data generation, transformation, and storage within organizations.

Data Architect: Graduates can pursue roles as data architects, responsible for designing and creating data systems and structures that align with organizational goals and data requirements.

Data Governance Analyst: Careers in data governance involve graduates ensuring data quality, security, and compliance with regulations. They develop and implement data governance policies within organizations.

Quantitative Analyst: Graduates may become quantitative analysts, applying mathematical and statistical techniques to analyze financial data and inform investment strategies within the finance industry.

Predictive Modeler: Careers in predictive modeling involve graduates building models to predict future trends, behaviors, or outcomes based on historical data, contributing to strategic planning.

Health Data Analyst: Graduates may specialize in health data analysis, working in healthcare organizations to analyze medical data, improve patient outcomes, and contribute to healthcare decision-making.

Research Scientist (Data Science): Careers as research scientists in data science involve graduates contributing to academic or industrial research projects, pushing the boundaries of data science knowledge.

Marketing Analyst: Graduates can enter roles as marketing analysts, using data-driven insights to inform marketing strategies, customer segmentation, and campaign optimization.

Cybersecurity Analyst (Data Focus): With a focus on data, graduates may work in cybersecurity roles, analyzing data to detect and prevent security threats within organizations.

Consultant in Data Science: Graduates may work as consultants, providing expertise in data science to organizations seeking guidance on leveraging data for strategic decision-making.