QS Rank:
342
University of East Anglia
Norfolk
,United Kingdom
Program Name
MMath in Actuarial and Data Science
Overview
View Official page
Bachelor of Actuarial and Data Science in Advanced Data Science is one of the most favoured degree
programs undertaken by students from the University of East Anglia. The reason for the
popularity of this degree course is that it has consistently ranked on reputed global
educational platforms.
The course is designed to give fundamental and advanced knowledge in the
Advanced Data Science. International students enrolled in a BS Degree in Advanced Data Science at the
University of East Anglia experience quality education and comprehensive hands-on
practical learning.
The qualified teachers, high-end classrooms, interactive curriculum, cost-effective
tuition fees and merit-based scholarships offer students the opportunity to develop
holistically. Overall, graduating with a BS Degree in Actuarial and Data Science at
University of East Anglia will make students job ready.
Why Study Actuarial and Data Science at University of East Anglia
- Most preferred by international students
- Provides enough hands-on learning experience
- Study in high-end classrooms from experienced teachers
- An array of internship and work opportunities all customised after course completion to prepare the students for the real world
Duration
48 Months
Median Salary
$55,000
Ranking
#330
US World and News Report
#182
The World University Rankings
#342
QS World University Rankings
Class Profile
Class Size
20
Average Age
22
Average Work Experience
1 Years
Diversity
Others:
10%Overseas:
5%South East England:
25%East of England:
45%London:
15%Career Outcomes
Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Software Engineer
Financial Analyst
Quantitative Analyst
Data Scientist
Actuarial Analyst
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
79
IELTS
6
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.
Transcript
Personal Statement
Academic LOR
Resume
Application Deadlines
Fees and Funding
Tuition Fees
$22,800 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Data Science Society
FAQs
A student can complete Actuarial and Data Science at University of East Anglia with in 48.
The annual tuition fee to pursue Actuarial and Data Science at University of East Anglia is GBP 22800.
The Actuarial and Data Science at University of East Anglia has 8 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the University of East Anglia. 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 East Anglia requirements before submitting a score.
Actuarial and 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 East Anglia, they can easily pursue Actuarial and 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 East Anglia 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 East Anglia website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of East Anglia 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.
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