logo
  • uni logo

QS Rank:

verified

163

uni logo

University of Exeter

flag

Devon

United Kingdom

The Bachelor of Science in Data Science with a specialization in Advanced Data Science at the University of Exeter stands out as a premier program that has attracted a diverse and talented student body. The program is particularly favored by international students, reflecting the university's commitment to providing world-class education and a culturally enriching environment. With its strong emphasis on practical learning and theoretical foundations, this program prepares students to excel in a rapidly evolving digital landscape. The rigorous curriculum encompasses a blend of mathematics, programming, and data analysis, enabling students to tackle complex data challenges that businesses face today.

The comprehensive curriculum is designed not only to provide fundamental knowledge but also to foster advanced expertise in the field of data science. Core courses cover critical subjects such as statistical methods, machine learning, database systems, and data visualization. Additionally, specialized modules such as big data technologies and data ethics ensure that students develop a well-rounded skill set. Practical learning opportunities are woven into the program through hands-on projects, workshops, and case studies, ensuring that students are adequately equipped to apply their knowledge in real-world scenarios.

Faculty expertise is another cornerstone of the BSc in Data Science program. The teaching staff at the University of Exeter comprises renowned academics and industry professionals who bring a wealth of experience to the classroom. They employ innovative teaching methodologies, blending traditional lectures with interactive sessions, problem-based learning, and collaborative projects. This multifaceted approach not only enhances the learning experience but also nurtures critical thinking, creativity, and teamwork, essential skills in the data science arena.

Research opportunities abound at Exeter, providing students with the chance to engage in cutting-edge projects alongside faculty members. The university is home to several research centers focusing on data-driven insights across various sectors. Students can partake in research initiatives that address real-world challenges, thus contributing to advancements in the field while gaining invaluable experience. Access to state-of-the-art facilities and resources further enhances their learning and research capabilities.

The University of Exeter boasts strong ties with industry partners, facilitating numerous internship and employment opportunities for students. Collaborations with leading firms and organizations ensure that students can gain practical experience while still in their academic program. Internship placements are customized according to students' interests and career aspirations, providing them with exposure to real-world data science applications. Graduating with such hands-on experience significantly boosts employability and prepares students for various career pathways, including roles as Data Analysts, Data Scientists, and Software Engineers, among others.

The success of the program is reflected in the impressive career outcomes reported by alumni. Graduates have successfully secured positions in renowned companies such as Google, IBM, Accenture, and Boston Consulting Group. Many alumni have expressed their satisfaction with the program, highlighting how the skills and knowledge acquired have prominently shaped their professional journeys. By choosing to pursue a degree in Data Science at the University of Exeter, students not only gain an education but also become part of a thriving community of successful professionals.

The unique features that distinguish this program include the integration of real-world projects into the curriculum, opportunities for research collaboration, and a robust support system for internships and career development. Additionally, the University of Exeter provides various scholarships to support students financially. These scholarships are awarded based on academic merit and financial need, thereby enabling a diverse range of students to benefit from this excellent program.

Why Study Data Science at University of Exeter

  • An internationally recognized program with high rankings on global education platforms.
  • A curriculum designed to balance theoretical knowledge with practical, hands-on experience.
  • Faculty comprised of industry experts and researchers who are dedicated to student success.
  • Comprehensive internship opportunities and career support to transition seamlessly into the job market.
  • Access to cutting-edge research facilities and resources that enhance the learning experience.
  • A variety of scholarships aimed at making the program accessible to a broader range of students.

Admission to the BSc in Data Science program requires a minimum of five GCSEs at grade C or above, including English Language, Mathematics, and a Science subject. Additionally, potential students must possess at least two A-levels or equivalent at grade B or above, particularly in Mathematics and a Science subject. Applicants who hold a relevant Higher National Diploma (HND) or Foundation Degree may also be considered. Furthermore, all applicants will be required to attend an interview and complete a written test as part of the selection process.

In conclusion, the Bachelor of Science in Data Science at the University of Exeter offers an exceptional educational experience that prepares students for a successful career in the fast-growing field of data science. Graduating from this program not only equips students with essential skills but also opens doors to countless opportunities in various sectors. The blend of research, practical application, and industry relevance makes this program a standout choice for aspiring data scientists.

intake

Duration

36 Months

intake

Median Salary

$55,000

Ranking

icon

#152

US World and News Report

icon

#137

The World University Rankings

icon

#163

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

Class Profile

intake

Class Size

100

intake

Average Age

22

intake

Average Work Experience

0 Years

Diversity

South West England:

20%

South East England:

25%

East of England:

15%

West Midlands:

10%

Yorkshire and The Humber:

5%

North West England:

2%

Others:

28%

Career Outcomes

intake

Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Engineer

Teacher

Entrepreneur

Activist

Data Analyst

Politician

Quantitative Analyst

Data Scientist

Business Analyst

Journalist

Researcher

Writer

Consultant

Machine Learning Engineer

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

    tooltip
  • TOEFL

    90

    tooltip
  • PTE

    67

    tooltip

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.

  • intake

    Transcript

  • intake

    Academic LOR

  • intake

    Resume

Application Deadlines

Space Available
FallJun 30, 2023

Fees and Funding

intake

Tuition Fees

$24,500 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Exeter offers a variety of scholarships for students studying BSc Data Science. These scholarships are based on academic merit, financial need, or a combination of both. The university also offers scholarships from external organizations, such as the Gates Cambridge Scholarship and the Clarendon Scholarship.
  • icon

    University of Exeter

  • icon

    Gates Cambridge Scholarship

FAQs

  • A student can complete Data Science at University of Exeter with in 36.
  • The deadline to submit an admission application for Data Science at University of Exeter is Application deadline Fall (Space Available) - date - 30/06/2023
  • The application fee to pursue Data Science at University of Exeter is GBP 22 for international students.
  • The annual tuition fee to pursue Data Science at University of Exeter is GBP 24500.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Exeter. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Exeter requirements before submitting a score.
  • Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of University of Exeter, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at University of Exeter can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Exeter website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Exeter by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon