Fee Structure
At University of Leicester,
we understand
that transparency and clarity regarding expenses
are crucial
for prospective students. Here’s a breakdown of the expenses you can anticipate during your
academic
journey:
| Item |
Description |
| Credits |
Each course at University of Leicester
is
assigned a specific number of credits,
representing the
workload and academic value of the course. |
| Tuition Fee per Year |
The tuition fee covers the cost of academic instruction and support services
provided by the
institution. This fee is calculated on a per-year basis and varies depending on the
program of study.
|
| Living Expenses per Year |
Living expenses encompass costs associated with accommodation, food, transportation,
utilities, and
personal expenses. These expenses are estimated based on the average cost of living
in the area where
the institution is located. |
| Other Expenses |
Other expenses may include health insurance, books and supplies, technology fees,
and miscellaneous
costs related to academic and personal needs. |
Total Amount for
CAS:
For international students applying for an
CAS,
the total amount required includes the sum of
tuition
fees, living expenses, and other expenses for one academic year.
| Item |
Amount |
| Tuition Fee per Year |
£ 14,725 (Approx.)
|
| Total Course Credits |
1 |
| Cost per Credit |
£ 14,725 |
| Item |
Amount |
| Tuition Fee per Year |
£ 14,725 (Approx.)
|
| Living Expenses per Year |
£ 12,006 (Approx.)
|
| Other Expenses per Year |
£ 1,200 (Approx.)
|
Visa Application:
When applying for a visa, it’s recommended to carry 1.5(i.e £ 22,088) times the total amount mentioned in
the
CAS to
ensure you have sufficient funds to cover unexpected expenses and demonstrate financial
stability to the
visa authorities.
| Item |
Description |
| Total Amount for
CAS |
Sum of tuition fees, living expenses, and other expenses for one academic year. |
| Visa Application |
Recommended to carry 1.5 times(i.e £ 41,897)
the total amount mentioned in the
CAS.
|
| Cost per Credit |
Calculated by dividing the total tuition fee for the year by the total number of
credits. |
Please note that these figures are subject to change and may vary depending on the program of
study and
individual circumstances. For the most accurate and up-to-date information regarding fees,
please refer to
the official documentation provided by
University of Leicester.
Should you have any further inquiries or require assistance, please don't hesitate to reach
out to
University of Leicester admissions office.
Master Of Science In Population Health Data Science Overview
Introduction:
Master Of Science In Population Health Data Science is an Master level course
designed to provide students with a comprehensive understanding of
Data Science.This postgraduate degree will build on your existing quantitative knowledge to give you the expertise in statistical analysis, computer science and health research that you will need to become a data scientist in the healthcare sector.From 2022 onwards, EU nationals will pay the International fee. If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria). One year tution fee would cost you
Course Objectives:
- Understand the core principles and theories of Data Science.
- Develop practical skills through hands-on projects, case studies, and simulations.
- Analyze and solve real-world problems related to Data Science.
- Explore advanced topics and emerging trends in Data Science.
Course Structure:
Master Of Science In Population Health Data Science is structured into 1 credits, each
focusing on
key aspects of Data Science. The course includes a combination of lectures,
workshops,
group discussions, and practical exercises to enhance learning outcomes. Throughout the
course, students will have the opportunity to engage with faculty members, industry experts,
and peers to deepen their understanding and broaden their perspectives.
Topics Covered:
- Introduction to Data Science
- Foundations of Data Science
- Advanced Data Science concepts
- Applications and case studies
- Emerging trends and future directions
Prerequisites:
Master Of Science In Population Health Data Science is suitable for students with a background in
Data Science or professionals seeking to expand their knowledge and skills in
Data Science.
Assessment and Evaluation:
Assessment in Master Of Science In Population Health Data Science is based on a combination of assignments,
quizzes, exams, projects, and participation. Students are expected to demonstrate their
understanding of key concepts, apply theoretical knowledge to practical scenarios, and
communicate their ideas effectively. Feedback from instructors and peers will be provided to
support continuous learning and improvement.
Further Studies:
For students interested in furthering their education, Master Of Science In Population Health Data Science serves as an excellent foundation for advanced studies in Data Science.
Graduates may
pursue master's or doctoral degrees in Data Science or specialized
certifications
in Data Science.
Conclusion:
Master Of Science In Population Health Data Science offers a comprehensive exploration of
Data Science,
providing students with the knowledge, skills, and confidence to succeed in
Data Science. Whether you are a beginner seeking an introduction to
Data Science or an experienced professional aiming to enhance your expertise, this course offers valuable
insights and practical insights to support your academic and career aspirations.
Admission Requirements
The University of Leicester is a public research university based in Leicester, England. The main campus is south of the city centre, adjacent to Victoria Park. The university's predecessor, University College, Leicester, gained university status in 1957.To be considered for admission, applicants must meet the
following requirements:
| Requirement Name |
Required Score |
| IELTS Score |
Overall Band Score of 6.5 or higher
|
| PTE Score |
Overall Score of
NOT ACCEPTED or higher |
| Duolingo Score |
Score of
NOT ACCEPTED |
| GRE Score |
Combined Verbal and Quantitative Score of
Not Accepted / Not Required or higher |
| GMAT Score |
Total Score of
Not Accepted / Not Required or higher |
| Evaluation |
Evaluation of applicant's academic background
Not Required.
|
| Backlogs |
No more than 6 backlogs during the entire
academic career |
| 15 Years Education |
Completion of 15 years of formal education
Accepted.
|
