find your perfect postgrad program
Search our Database of 30,000 Courses
University of Surrey: Business Analytics
Institution | University of Surrey View institution profile |
---|---|
Department | FASS - Faculty of Arts and Social Sciences |
Web | www.surrey.ac.uk |
admissions@surrey.ac.uk | |
Telephone | +44(0)1483 682222 |
Study type | Taught |
MSc
Summary
**Why choose this course**
In our hyper-connected, data-driven era, the true visionaries who harness the power of big data are the ones who thrive. Imagine being at the forefront of this revolution, armed with cutting-edge tools like artificial intelligence, machine learning, and management science. With our game-changing MSc Business Analytics course, you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.
Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionise the way you approach business challenges. Our highly practical programme is designed to mould you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.
We understand the importance of blending theory and real-world experience, which is why our programme is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.
Our graduates are highly sought-after by employers and go on to successful careers in business, management, and accounting. Surrey Business School is ranked 67th in the world in the Times Higher Education World University Rankings 2023 and top 100 in the world for management in the Shanghai Global Rankings 2022.
The School has a strong focus on research and innovation. Its research centres include the Centre for Business Analytics in Practice, the Centre of Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
**What you will study**
Learn how to become a business-orientated data scientist
This course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyse data related to a range of diverse business operations contexts.
Develop analytical skills employers seek
You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimise businesses to their full potential.
Develop problem-solving skills
Your studies will focus on three major areas:
Analysing business data
Using data to solve business challenges
Making data-driven business decisions.
On this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges.
Learn how to become a critical thinker
You’ll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges.
Learn how to manage analytics projects
You'll master the skill of running data analytics projects, from assessing and analysing raw data to preparing visualisations, and concluding by optimally communicating your results effectively to a select audience.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
**Why choose this course**
In our hyper-connected, data-driven era, the true visionaries who harness the power of big data are the ones who thrive. Imagine being at the forefront of this revolution, armed with cutting-edge tools like artificial intelligence, machine learning, and management science. With our game-changing MSc Business Analytics course, you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.
Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionise the way you approach business challenges. Our highly practical programme is designed to mould you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.
We understand the importance of blending theory and real-world experience, which is why our programme is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.
Our graduates are highly sought-after by employers and go on to successful careers in business, management, and accounting. Surrey Business School is ranked 67th in the world in the Times Higher Education World University Rankings 2023 and top 100 in the world for management in the Shanghai Global Rankings 2022.
The School has a strong focus on research and innovation. Its research centres include the Centre for Business Analytics in Practice, the Centre of Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
**What you will study**
Learn how to become a business-orientated data scientist
This course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyse data related to a range of diverse business operations contexts.
Develop analytical skills employers seek
You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimise businesses to their full potential.
Develop problem-solving skills
Your studies will focus on three major areas:
Analysing business data
Using data to solve business challenges
Making data-driven business decisions.
On this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges.
Learn how to become a critical thinker
You’ll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges.
Learn how to manage analytics projects
You'll master the skill of running data analytics projects, from assessing and analysing raw data to preparing visualisations, and concluding by optimally communicating your results effectively to a select audience.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
**Why choose this course**
In our hyper-connected, data-driven era, the true visionaries who harness the power of big data are the ones who thrive. Imagine being at the forefront of this revolution, armed with cutting-edge tools like artificial intelligence, machine learning, and management science. With our game-changing MSc Business Analytics course, you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.
Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionise the way you approach business challenges. Our highly practical programme is designed to mould you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.
We understand the importance of blending theory and real-world experience, which is why our programme is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.
Our graduates are highly sought-after by employers and go on to successful careers in business, management, and accounting. Surrey Business School is ranked 67th in the world in the Times Higher Education World University Rankings 2023 and top 100 in the world for management in the Shanghai Global Rankings 2022.
The School has a strong focus on research and innovation. Its research centres include the Centre for Business Analytics in Practice, the Centre of Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
**What you will study**
Learn how to become a business-orientated data scientist
This course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyse data related to a range of diverse business operations contexts.
Develop analytical skills employers seek
You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimise businesses to their full potential.
Develop problem-solving skills
Your studies will focus on three major areas:
Analysing business data
Using data to solve business challenges
Making data-driven business decisions.
On this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges.
Learn how to become a critical thinker
You’ll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges.
Learn how to manage analytics projects
You'll master the skill of running data analytics projects, from assessing and analysing raw data to preparing visualisations, and concluding by optimally communicating your results effectively to a select audience.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
**Why choose this course**
In our fast-paced, data-driven modern world, business analysts help organisations turn big data into big ideas. Artificial intelligence, machine learning and management science power decisions in business. You’ll gain data-led insights and optimise businesses by using descriptive, predictive and prescriptive analytics.
Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in class and on-site, we will also make sure you’re immersed in the business problems faced by the global business community today.
We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World University Rankings 2020.
**What you will study**
This course will take your career to the next level and develop your ability to make the big decisions about data in a confident fashion. Your studies will focus on two areas: analysing business data and using data to solve business challenges. On this course, you will have an opportunity to use artificial intelligence to improve a chess game, game theory to create games, or computational intelligence with genetic algorithms. You’ll also discover visualisations from graphs and explore virtual reality, gaining insights from data mining and machine learning.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
**Why choose this course**
In our fast-paced, data-driven modern world, business analysts help organisations turn big data into big ideas. Artificial intelligence, machine learning and management science power decisions in business. You’ll gain data-led insights and optimise businesses by using descriptive, predictive and prescriptive analytics.
Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in class and on-site, we will also make sure you’re immersed in the business problems faced by the global business community today.
We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World University Rankings 2020.
**What you will study**
This course will take your career to the next level and develop your ability to make the big decisions about data in a confident fashion. Your studies will focus on two areas: analysing business data and using data to solve business challenges. On this course, you will have an opportunity to use artificial intelligence to improve a chess game, game theory to create games, or computational intelligence with genetic algorithms. You’ll also discover visualisations from graphs and explore virtual reality, gaining insights from data mining and machine learning.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Summary
**Why choose this course**
In our fast-paced, data-driven modern world, business analysts help organisations turn big data into big ideas. Artificial intelligence, machine learning and management science power decisions in business. You’ll gain data-led insights and optimise businesses by using descriptive, predictive and prescriptive analytics.
Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in class and on-site, we will also make sure you’re immersed in the business problems faced by the global business community today.
We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World University Rankings 2020.
**What you will study**
This course will take your career to the next level and develop your ability to make the big decisions about data in a confident fashion. Your studies will focus on two areas: analysing business data and using data to solve business challenges. On this course, you will have an opportunity to use artificial intelligence to improve a chess game, game theory to create games, or computational intelligence with genetic algorithms. You’ll also discover visualisations from graphs and explore virtual reality, gaining insights from data mining and machine learning.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: |
Location | Stag Hill Stag Hill Guildford GU2 7XH |
Overview
Welcome to the University of Surrey, a global community of more than 16,000 students from 140 countries.
We’re based in the popular town of Guildford, just 35 minutes from central London by train. Our beautiful, green campus is home to outstanding learning facilities in every faculty, plus a comprehensive range of student services, a wide choice of accommodation and dedicated support for international students, to help you make the most of university life.
Master’s programmes
At Surrey, we want to shape the world for the better. If you’re considering postgraduate study, it’s likely you do too.
We have three …
View ProfileNot what you are looking for?
Browse other courses in Management or Business statistics, or search our comprehensive database of postgrad programs.Scholarship Opportunity with Postgrad.com
Are you a PG student at this University or have you applied to study a postgraduate program at a university in Europe? Tell us your plans and qualify for a £500.00 PGS Scholarship.
Click here