MSc Accounting and Finance
The MSc Accounting and Finance program at Aston University provides students with a com...
MSc Data Analytics
Birmingham
INTAKE: September
Program Overview
The MSc Data Analytics program at Aston University is a testament to the institution's forward-looking approach in meeting the demands of the digital age. This program is tailored to equip students with the essential skills and knowledge required to navigate the complex landscape of data-driven decision-making.
-
Comprehensive Curriculum: The program's curriculum delves into a comprehensive array of subjects including data mining, machine learning, statistical analysis, data visualization, and database management. Students gain proficiency in utilizing analytical tools and programming languages that are vital in contemporary data analysis.
-
Hands-on Learning: Practical application is a core tenet of the program. Students engage in hands-on projects, case studies, and data-driven simulations, bridging the gap between theoretical concepts and real-world scenarios.
-
Advanced Techniques: The program goes beyond basics to explore advanced techniques in data analytics, enabling students to tackle intricate data challenges faced by industries today.
-
Faculty Expertise: Aston University takes pride in its faculty, composed of esteemed academics and industry experts. This ensures that students receive up-to-date insights and guidance aligned with industry trends.
-
Industry Connections: The university's strong ties with industry partners provide students with invaluable networking opportunities, guest lectures, and exposure to real-world data problems encountered by businesses.
Location
Birmingham
Score
IELTS 6.5
Tuition Fee
£ 20700
Postgraduate Entry Requirements:
-
Academic Qualifications: International students applying for postgraduate programs at Aston University are generally required to have achieved a minimum overall percentage of 60% or above in their undergraduate degree or equivalent qualification. However, specific entry requirements may vary depending on the chosen course of study.
-
English Language Proficiency:
- IELTS: An overall score of 6.5 or higher with no individual band below 6.0.
- TOEFL: The overall score 93 with minimum score of 18 in each component is required.
- PTE: The overall score 67 with minimum 59 is required.
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.
Aston University offers a range of scholarships and financial support to both domestic and international students. These scholarships are designed to recognize academic excellence, support talented students, and promote diversity and inclusion.
- Aston Business School Scholarships: Aston Business School offers a range of scholarships for undergraduate and postgraduate students pursuing business-related programs. These scholarships are based on academic merit, leadership potential, and other criteria.
- International Ambassador Scholarship: This scholarship is specifically for international students and is awarded based on academic merit and contribution to the Aston community. It provides a tuition fee reduction of up to £3,000 for the first year of study.
Graduates of the MSc Data Analytics program from Aston University are poised to embark on diverse and rewarding career trajectories.
-
Data Analyst: Analyze and interpret data to unveil patterns, trends, and insights that guide strategic decision-making.
-
Business Intelligence Analyst: Employ data-driven insights to enhance business processes, optimize operations, and drive organizational growth.
-
Data Engineer: Design, develop, and maintain data pipelines to ensure efficient data collection, storage, and retrieval.
-
Predictive Modeler: Utilize statistical and machine learning techniques to create predictive models that aid in forecasting future trends.
-
Data Consultant: Offer expert advice to organizations seeking to harness the power of their data for competitive advantage.
-
Research Scientist: Contribute to the forefront of data analytics research, advancing the field's methodologies and applications.
