MSc Business and Data Analytics
Ravensbourne University London
6 Penrose Way, London SE10 0EW, United Kingdom
Tuition Fees
£ 18,000.00
Minimum Deposit
£ 7,250.00
Scholarship
£ 3,500.00
Application Fees
£ 0.00
Durations
1 Years
Course Overview
The MSc in Business and Data Analytics teaches students how to utilize data to inform more informed business decisions. This skill is essential for success in today's world. The course combines advanced data analytics with business knowledge to help students solve real-world problems. As big data becomes increasingly important, the program encompasses key areas such as data mining, artificial intelligence (AI), and machine learning. Students will learn how to analyze complex data and use it to improve business outcomes. As businesses... Read more
The MSc in Business and Data Analytics teaches students how to utilize data to inform more informed business decisions. This skill is essential for success in today's world. The course combines advanced data analytics with business knowledge to help students solve real-world problems. As big data becomes increasingly important, the program encompasses key areas such as data mining, artificial intelligence (AI), and machine learning. Students will learn how to analyze complex data and use it to improve business outcomes. As businesses increasingly rely on their data, graduates will be well-prepared to apply cloud technologies and AI tools to drive growth. The course ensures students gain the skills needed to meet the growing demands of both business and technology.
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Career Opportunities
Graduates of the MSc in Business and Data Analytics are ready for roles such as data analyst, business intelligence consultant, data scientist, and market analyst. These roles are crucial for businesses that rely on data to inform their decisions. Graduates can work in industries such as finance, marketing, creative media, and e-commerce, where big data, machine learning, and artificial intelligence play a significant role. The knowledge of cloud technologies and data analysis techniques gained in this course makes graduates highly sought after in the job market. Additionally, graduates can continue their education through PhD programs or certifications in AI or data analytics to further... Read more
Graduates of the MSc in Business and Data Analytics are ready for roles such as data analyst, business intelligence consultant, data scientist, and market analyst. These roles are crucial for businesses that rely on data to inform their decisions. Graduates can work in industries such as finance, marketing, creative media, and e-commerce, where big data, machine learning, and artificial intelligence play a significant role. The knowledge of cloud technologies and data analysis techniques gained in this course makes graduates highly sought after in the job market. Additionally, graduates can continue their education through PhD programs or certifications in AI or data analytics to further enhance their skills and career prospects. This course prepares students to meet the growing needs of the business and technology sectors.
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Course Summary
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-
6 Penrose Way, London SE10 0EW, United Kingdom
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1 Year's Post Graduation (PG)
Program Length -
Available Intakes
Sep
-
£ 18,000.00/Year
Tuition Fees -
Minimum Deposit
£ 7,250.00 -
Scholarship
£ 3,500.00 -
£ 0.00/Year
Application Fees -
£ 13,500.00/Year
Living Cost
University
Admission Requirements
Academic Requirements
Minimum Level of Education Completed
Bachelor
Minimum Mark (%) OR Minimum CGPA
Mark:55% OR CGPA:2.75
English Proficiency Test Requirements
IELTS
6.0 Overall
Reading
5.5Writing
5.5Listening
5.5Speaking
5.5
Suggested Courses
Ravensbourne University London
6 Penrose Way, London SE10 0EW, United Kingdom
Tuition Fees £ 18,000.00
Minimum Deposit £ 7,250.00
Scholarship£ 3,500.00
Application Fees£ 0.00
Durations1 Years
Intakes:
Ravensbourne University London
6 Penrose Way, London SE10 0EW, United Kingdom
Tuition Fees £ 18,000.00
Minimum Deposit £ 7,250.00
Scholarship£ 3,500.00
Application Fees£ 0.00
Durations1 Years
Intakes:
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