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QS Rank:

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80

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University of Southampton

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Southampton

United Kingdom

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Program Rank

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39

The Master of Science in Data and Decision Analytics at the University of Southampton is a cutting-edge program designed for individuals seeking to develop expertise in data science and analytics. This comprehensive program blends theoretical knowledge with practical skills, equipping students with the analytical tools and techniques required to transform data into actionable insights. With a focus on real-world applications, this master's degree prepares graduates to meet the demands of an increasingly data-driven world. Over the course of 12 months, students will dive deep into various facets of data analytics, exploring everything from data mining and machine learning to statistical methods and big data technologies.

The curriculum encompasses a robust set of modules that cover essential topics in data analytics, including but not limited to Data Visualization, Predictive Analytics, and Business Intelligence. Students will also have the opportunity to engage with specialized courses that delve into advanced machine learning algorithms, data mining techniques, and decision-making frameworks, ensuring a well-rounded education. Furthermore, students will complete a substantial research project or dissertation, allowing them to apply their knowledge to real-world challenges and contribute to the field of data analytics.

One of the defining features of this program is its faculty, composed of leading experts in the fields of mathematics, computer science, and business analytics. With a blend of academic prowess and industry experience, the faculty employs diverse teaching methodologies, combining lectures, hands-on workshops, and collaborative projects. This approach not only fosters a rich learning environment but also encourages students to engage in critical thinking and develop problem-solving skills that are vital in today’s job market.

The University of Southampton is renowned for its commitment to research and innovation, and students in this program will have access to state-of-the-art facilities and resources. The institution maintains strong ties with industry leaders, providing students with invaluable networking opportunities, internships, and placements that can significantly enhance their career prospects. Graduates of the program are well-positioned to take on roles in various sectors, including finance, healthcare, marketing, and technology, with many securing positions as data analysts, data scientists, and data engineers shortly after graduation.

Beyond academics, the vibrant university community fosters a rich cultural exchange among international students, creating a diverse learning environment. Students will have the chance to participate in various extracurricular activities, enhancing their interpersonal skills and professional networks. The university’s commitment to student success is evident through its extensive support services, designed to assist students throughout their academic journey.

Why Study Data and Decision Analytics at the University of Southampton?

  • **Reputable Institution**: The University of Southampton is ranked in the top 100 universities globally, ensuring a high-quality education recognized worldwide.
  • **Expert Faculty**: Learn from leading academics and industry experts who bring real-world experience into the classroom.
  • **Cutting-edge Curriculum**: The program covers current trends and methodologies in data analytics, preparing students for the fast-evolving job market.
  • **Research Opportunities**: Engage in innovative research projects, contributing to advancements in the field of data science.
  • **Strong Industry Connections**: Benefit from internships and collaborations with prominent companies such as Deloitte and Deutsche Bank, facilitating a smooth transition into the workforce.
  • **Diverse Community**: Join a global network of students, enhancing your educational experience and cultural understanding.
  • **Career Support**: Access to extensive career services and networking opportunities to help students secure employment post-graduation.

Prospective students should meet the following requirements to apply for the program:

  • **Minimum GPA**: Applicants are expected to have at least a 3.0/4.0 undergraduate GPA.
  • **Educational Background**: A minimum of 15 years of formal education, including a recognized bachelor’s degree.
  • **Language Proficiency**: Non-native English speakers must demonstrate proficiency through tests such as IELTS (minimum score of 6.5) or equivalent.

In terms of career pathways, graduates of the Data and Decision Analytics program can expect to enter a variety of lucrative sectors. Job titles include Data Engineer, Data Scientist, Health Data Analyst, and Data Architect, among others. The program's strong emphasis on practical skills ensures that graduates are well-equipped to meet the demands of potential employers, with many securing positions in top companies shortly after graduation.

Success stories from alumni further highlight the program's effectiveness. Graduates have gone on to excel in roles at prestigious organizations such as the Smithsonian Institution, Deloitte, and the Australian Department of Health. Their experiences reflect a strong foundation gained during their studies, enabling them to tackle complex data challenges in their respective fields confidently.

In conclusion, the Master of Science in Data and Decision Analytics at the University of Southampton is an exceptional program tailored for those eager to make a significant impact in the data analytics domain. With a comprehensive curriculum, expert faculty, and extensive industry connections, students are positioned for success in their future careers. The application deadline for the upcoming intake is August 26th, 2025, and prospective students are encouraged to apply early to ensure a spot in this prestigious program.

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Total Tuition Fees

$25,400

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#104

US World and News Report

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#108

The World University Rankings

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#80

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

26

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Average Work Experience

2 Years

Diversity

Africa:

2%

UK:

65%

Europe:

14%

Asia:

8%

North America:

4%

Oceania:

1%

Others:

6%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

90%

Prospective Job Roles

Data Engineer

HR Data Analyst

Healthcare Data Architect

Math Data Analyst

Data scientists

Data Entry Clerk

Health Data Analyst

Data Architect

Data scientist

Data Science Consultant

Data Science Entrepreneur

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

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At least 15 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    62

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  • TOEFL

    92

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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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Application Fee: 50

  • intake

    Transcript

  • intake

    Passport

  • intake

    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

  • intake

    Professional LOR

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    Class 10 Marksheets

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    Class 12 Marksheets

Application Deadlines

Standard Deadline
FallAug 26, 2025

Fees and Funding

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Tuition Fees

$25,400 / year

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Overall Cost

$41,000 / year

FAQs

  • It is a document that lists your assessed academic achievement so far. You can apply for a new one each year up until the end of your undergraduate studies. Each transcript will be a record of your modules completed. For instance, if you ask for a transcript in your second year, it will show your first and second year marks plus any foundation year modules.
  • 6.5
  • You can defer at any point in the application process. You must select a year of entry when applying through UCAS. If you change your mind after submitting your application, you can contact us on [email protected] and we can either defer or un-defer your application as necessary.

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