MSc Accounting and Finance
The MSc Accounting and Finance program at Aston University provides students with a com...
MSc Data Analytics (including Professional Practice)
Birmingham
INTAKE: September
Program Overview
The MSc Data Analytics program offered by Aston University is strategically designed to meet the escalating global demand for skilled data analysts. This program melds cutting-edge theory with hands-on experience, equipping students with the proficiency to unravel complex data challenges and drive informed decision-making in diverse sectors.
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Holistic Curriculum: The curriculum encompasses a diverse spectrum of topics such as data mining, machine learning, statistical analysis, data visualization, and big data management. Students acquire mastery over analytical tools and programming languages instrumental in contemporary data analysis.
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Practical Immersion: Practical learning lies at the core of the program. Through real-world projects, case studies, and simulations, students bridge the gap between theory and practice, gaining the skills to address genuine data-related predicaments.
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Professional Practice Integration: A hallmark feature of this program is its incorporation of a Professional Practice placement. This empowers students to immerse themselves in professional work environments, honing their skills, fostering industry connections, and translating classroom knowledge into tangible contributions.
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Faculty of Eminence: Aston University boasts an accomplished faculty comprising both academics and industry experts. Their collective knowledge ensures that students are exposed to the latest industry insights and research advancements.
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Industry Synergy: The university's strong industry affiliations offer students exclusive networking prospects, guest lectures from industry stalwarts, and the chance to engage with real-world data predicaments faced by businesses.
Location
Birmingham
Score
IELTS 6.5
Tuition Fee
£ 23200
Postgraduate Entry Requirements:
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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.
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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 Aston University's MSc Data Analytics (including Professional Practice) program emerge primed for an array of fulfilling career paths.
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Data Scientist: Proficiently analyze intricate datasets, distilling actionable insights that steer business strategies.
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Business Analyst: Leverage data-driven insights to identify avenues for process optimization, cost efficiency, and heightened decision-making.
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Data Engineer: Conceptualize and oversee data pipelines, ensuring the secure and efficient collection, storage, and retrieval of data.
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Consultant: Extend data-centric consultancy, guiding enterprises in leveraging data for operational enhancements and strategic growth.
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Research Luminary: Contribute to pioneering research in data analytics, machine learning, and artificial intelligence.
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Advanced Studies: Graduates can opt for further scholarly pursuits, undertaking doctoral studies to delve deeper into research and academia.
