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QS Rank:

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477

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Royal Holloway University of London

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Surrey

United Kingdom

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Program Rank

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37

The MSc in Business Analytics program at Royal Holloway University of London stands at the forefront of practical and theoretical training, strategically designed for aspiring business analysts and data-driven decision-makers. With the ever-growing importance of data in business, this program goes beyond mere technical proficiency. It provides a comprehensive skill set essential for navigating the modern business landscape. Students engage in a curriculum that emphasizes not only analytical techniques but also critical thinking, effective communication, and collaborative problem-solving. These core competencies equip graduates to address complex business challenges with confidence and creativity.

At the heart of the program is a focus on business analytics tools and methodologies. Students will gain hands-on experience with industry-leading software, including AWS Cloud Computing, Alteryx, and Tableau, allowing them to make informed data-driven decisions. This practical approach ensures that graduates are well-prepared to leverage analytics for strategic advantage in diverse industries. The program also acknowledges the significance of coding skills in today’s data-centric world, integrating both coding fundamentals and user-friendly software solutions to interpret large datasets effectively.

Recognizing the demand for skilled professionals who can bridge the gap between data and actionable insights, the MSc in Business Analytics program nurtures critical skills in areas such as cloud computing, artificial intelligence, machine learning, and predictive analytics. This dynamic curriculum ensures that graduates are not only equipped to analyze data but can also make predictions and offer solutions that influence future business performance. Additionally, the program emphasizes data visualization skills, empowering students to tell compelling stories through data, fostering engagement and informed decision-making.

The program’s unique features include a strong emphasis on employability and professional development. By intertwining digital skills with traditional business knowledge, students learn how to become versatile problem-solvers capable of driving innovation and business success. Moreover, the program values continuous improvement, making periodic updates to the curriculum to adapt to the evolving business landscape and enhance the student experience. The collaborative nature of the coursework also cultivates teamwork and creativity, essential traits for future leaders in any organization.

As students progress through the MSc in Business Analytics program, they will encounter a plethora of opportunities for engagement in research and industry partnerships. Faculty members, who are experts in their fields, bring a wealth of knowledge and real-world experience to the classroom. This ensures that students not only learn theoretical concepts but also how to apply them in practical settings. The program also fosters valuable industry connections, providing students with potential internship and job placement opportunities that enhance their professional readiness and job market competitiveness.

Upon graduation, students can expect to enter the workforce with a robust network and a skill set highly sought after by employers. The program boasts a remarkable 93% job placement rate, with graduates securing roles such as Data Scientist, Business Analyst, Project Manager, and IT Business Analyst. Alumni success stories testify to the program’s effectiveness, showcasing individuals who have made significant impacts in their respective fields and industries. Their achievements reflect the program's commitment to excellence and relevance in today's fast-paced business environment.

Why Study MSc in Business Analytics at Royal Holloway?

  • Diverse Curriculum: The program offers a comprehensive blend of technical and analytical skills, ensuring that students are well-rounded professionals.
  • Industry-Relevant Skills: Curriculum designed in collaboration with industry leaders to ensure employment readiness and relevance.
  • Expert Faculty: Learn from experienced instructors who bring real-world insights and innovative methodologies into the classroom.
  • Strong Networking Opportunities: Benefit from connections with industry professionals, alumni, and potential employers throughout the program.
  • High Employability Rate: With a 93% job placement rate, graduates are well-positioned for success in various sectors.

To gain admission to the MSc in Business Analytics program, applicants are required to meet certain prerequisites. Candidates must hold a relevant undergraduate degree with a strong academic background. Proficiency in English is also essential, with standardized test scores such as IELTS (minimum score of 6.5), TOEFL (minimum score of 88), PTE (minimum score of 61), or Duolingo (minimum score of 120) required for non-native speakers. Additionally, prospective students need to submit a personal statement, academic letters of recommendation, and a current resume detailing their academic and professional achievements.

The MSc in Business Analytics program at Royal Holloway University of London is a transformative step for those looking to elevate their careers and contribute meaningfully to the business world. With its cutting-edge curriculum, dedicated faculty, and strong industry connections, the program prepares students to become leaders in business analytics and data-driven decision-making.

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Total Tuition Fees

$23,900

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Duration

12 Months

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Median Salary

$53,000

Ranking

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#593

US World and News Report

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#477

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

40

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Average Age

20

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Average Work Experience

2 Years

Diversity

North America:

5%

Africa:

2%

UK:

65%

Oceania:

1%

Asia:

10%

Others:

4%

Europe:

12%

Career Outcomes

On graduating with a Masters degree in Business Analytics from Royal Holloway, you will be graduating with an increasingly sought-after analytical skillset and an understanding of the accompanying software, highly applicable across a range of industries and analytical roles including business analyst, data scientist, quantitative analyst, market research professional and project management.

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Median Earnings After Graduation

$53,000 / year

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Job Placement

93%

Prospective Job Roles

Clinical Data Analyst

Manager

Data Scientist

Business Analyst

Business Consultant

Project Manager

IT Business Analyst

Program Manager

Consultant

Data analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    88

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  • DUOLINGO

    120

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  • PTE

    61

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

  • intake

    Passport

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    Degree Certificate

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    TOEFL

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    IELTS

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    PTE

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    Personal Statement

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    Academic LOR

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    Portfolio

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    Curriculum Vitae

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    Passport

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    Research Papers/Publications

Application Deadlines

Final Deadline
FallJul 31, 2024

Fees and Funding

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Tuition Fees

$23,900 / year

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Overall Cost

$40,900 / year

Funding Options

Department Funding

External Sources - Scholarships

Scholarships

Become a Royal Holloway scholar and get help paying for your studies.

Our great range of scholarships provide cash awards or a reduction on tuition fees. You'll need to apply for most of our scholarships, but some are awarded automatically if you meet certain criteria.

Use the search tool below to see which you're eligible for, based on your level of study (undergraduate or postgraduate), your fee status (home or international) and the subject you're planning to study. Check the individual scholarships to find out full details.

Please check each listing carefully for details of current availability and application dates.

We also provide bursaries for eligible students while other potential funding includes external scholarships and studentships for research students.

FAQs

  • To gain admission to the MSc in Business Analytics program, applicants must meet the following prerequisites:

    1. Candidates must hold a relevant undergraduate degree with a strong academic background.
    2. Proficiency in English is essential, with standardized test scores required for non-native speakers:
      • IELTS: minimum score of 6.5
      • TOEFL: minimum score of 88
      • PTE: minimum score of 61
      • Duolingo: minimum score of 120
    3. Applicants are also required to submit a personal statement, academic letters of recommendation, and a current resume detailing their academic and professional achievements.
  • The MSc in Business Analytics program features a dynamic curriculum that combines both practical and theoretical training. Students engage in a variety of coursework that emphasizes:

    • Analytical techniques
    • Critical thinking
    • Effective communication
    • Collaborative problem-solving

    This structure equips graduates with the essential skills needed to navigate modern business challenges effectively and creatively.

  • The program utilizes a hands-on approach to learning, allowing students to gain practical experience with industry-leading software such as AWS Cloud Computing, Alteryx, and Tableau. This practical focus ensures that students can apply theoretical concepts in real-world settings. Furthermore, students will have the opportunity to engage in research and industry partnerships, learning from faculty members who are experts in their fields and bring valuable real-world insights into the classroom.

  • Several unique features characterize the MSc in Business Analytics program:

    • Emphasis on Employability: The program integrates digital skills with traditional business knowledge, preparing students to be versatile problem-solvers.
    • Continuous Curriculum Improvement: The program is regularly updated to adapt to the evolving business landscape, enhancing the student experience.
    • Collaboration and Teamwork: The collaborative nature of the coursework fosters teamwork and creativity, essential traits for future leaders.
  • Graduates of the MSc in Business Analytics program can look forward to a wide range of career opportunities. The program boasts a remarkable 93% job placement rate, with alumni securing roles such as:

    • Data Scientist
    • Business Analyst
    • Project Manager
    • IT Business Analyst

    These roles reflect the high demand for skilled professionals capable of bridging the gap between data and actionable business insights.

  • The MSc in Business Analytics program prepares students for the job market through a combination of:

    • A diverse curriculum that emphasizes both technical and analytical skills.
    • Opportunities for engagement in research and industry partnerships, providing practical experience.
    • Strong networking opportunities with industry professionals, alumni, and potential employers.

    These elements collectively enhance students' professional readiness and competitiveness in the job market.

  • Throughout the MSc in Business Analytics program, students will develop a comprehensive skill set, including:

    • Proficiency in business analytics tools and methodologies
    • Data visualization skills to effectively communicate insights
    • Cloud computing, artificial intelligence, machine learning, and predictive analytics capabilities
    • Critical thinking and effective communication skills
    • Collaborative problem-solving abilities

    These skills equip graduates to address complex business challenges and contribute positively to their organizations.

  • Industry connections play a crucial role in the MSc in Business Analytics program. The program fosters valuable relationships with industry professionals, which can lead to:

    • Potential internship opportunities
    • Job placement opportunities
    • Insights into current industry trends and practices

    These connections enhance the overall educational experience and prepare students for successful careers in business analytics.

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