QS Rank:

172

University of Reading

Reading
,United Kingdom

Program Name
Master of Science in Data Science and Advanced Computing
Overview

The Master of Science in Data Science and Advanced Computing at the University of Reading is an exceptional program designed to equip students with cutting-edge skills in data science, advanced computing, and machine learning. This intensive course spans a duration of 12 months and offers students the opportunity to immerse themselves in a curriculum that emphasizes practical, real-world applications of data analysis and computational techniques. As the demand for skilled data professionals continues to grow across various sectors, this program is tailored to prepare students not just for the current job market, but for the future landscape of technology and data science.
Throughout the course, students will engage with a comprehensive curriculum that features essential subjects such as Applied Statistics, Database Systems and Data Preparation, and Practical Machine Learning. Each of these key topics is designed to deepen students' understanding of data interpretation, processing, and the implementation of machine learning algorithms, ensuring graduates are proficient in both theoretical and practical aspects. Advanced modules focus on vital skills like data visualization, big data technologies, and predictive modeling, allowing students to tackle real-world problems effectively.
The faculty at the Department of Computer Science comprises experienced professionals and experts in their respective fields, who bring a wealth of knowledge and real-world experience into the classroom. They employ innovative teaching methodologies that blend traditional lectures with hands-on projects, fostering an engaging learning environment. Students will benefit from personalized mentoring, where faculty members guide them through challenging concepts and projects, ensuring they grasp the core competencies required in the data science landscape.
Additionally, the University of Reading offers rich research opportunities and state-of-the-art resources for students. Working alongside faculty members on cutting-edge research projects, students can contribute to publications and gain invaluable insights into the latest developments in data science. This research-centric approach not only enhances learning but also provides students with practical experiences that are essential for building a robust professional portfolio.
In terms of industry connections, the University of Reading has established strong ties with various tech companies and organizations, providing students with opportunities for internships and practical experiences. Such connections are pivotal in helping students gain a foothold in the industry, as they can apply their skills in real-world settings, build a professional network, and often secure job placements post-graduation. The program's career support services further assist students in navigating their career pathways effectively.
Graduates of this program can expect to pursue a wide range of lucrative career opportunities, including roles such as Data Scientist, Data Engineer, Business Analyst, and Machine Learning Engineer. The average base salary for graduates stands at approximately £60,000, with many entering high-demand sectors such as finance, healthcare, and technology. Alumni have gone on to achieve remarkable success, holding positions at leading companies and making significant contributions to advancements in technology.
Why Study Master of Science in Data Science and Advanced Computing at University of Reading
- A comprehensive curriculum that covers essential data science topics, ensuring graduates possess a well-rounded skill set.
- Access to experienced faculty members who bring industry knowledge and research expertise into the classroom.
- Opportunities for collaborative research projects, enhancing students' practical experience and academic credentials.
- Strong industry connections that facilitate internships and job placements in leading firms across various sectors.
- A vibrant international student community, enhancing the learning experience through diverse perspectives.
For entry into the Master of Science in Data Science and Advanced Computing program, applicants need to meet specific requirements. A bachelor’s degree in a relevant discipline such as Computer Science, Mathematics, or Engineering is essential. Additionally, prospective students must present a compelling Statement of Purpose, an Academic Letter of Recommendation, and a Resume that showcases their academic and professional background.
Moreover, demonstrating proficiency in English is critical for international applicants, who are required to achieve the following minimum scores on standardized tests:
- IELTS: Minimum score of 6.5 (with no sub-score below 6.0).
- TOEFL: Minimum total score of 88.
- PTE: Minimum score of 69.
In conclusion, the Master of Science in Data Science and Advanced Computing at the University of Reading stands out as a premier program that equips students with not only the knowledge but also the practical skills needed to excel in the rapidly evolving field of data science. With its focus on real-world applications, industry connections, and robust support systems, this program offers an unmatched educational experience that prepares graduates to thrive in their future careers.

Duration
12 Months

Median Salary
$55,000
Ranking
#333
US World and News Report
#198
The World University Rankings
#172
QS World University Rankings
Class Profile

Class Size
20

Average Age
25

Average Work Experience
1 Years
Diversity
Africa:
1%EU:
10%Others:
1%North America:
2%Others:
5%Asia:
1%UK:
80%Career Outcomes

Median Earnings After Graduation
$55,000 / year
Prospective Job Roles
Statistician
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Data Architect
Machine Learning Engineer
Top recruiters









Eligibility Criteria
English Proficiency Tests
TOEFL
88
PTE
69
IELTS
6.5
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
Statement of Purpose
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$22,850 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The University of Reading
The Royal Statistical Society
FAQs
- A student can complete Data Science and Advanced Computing at University of Reading with in 12.
- The annual tuition fee to pursue Data Science and Advanced Computing at University of Reading is GBP 22850.
- The submission of these scores mainly depends on the type of degree/ course selected at the University of Reading. 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 Reading requirements before submitting a score.
- Data Science and Advanced Computing 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 Reading, they can easily pursue Data Science and Advanced Computing. 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 Reading 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 Reading website to check the course/ degree duration.
- One can apply for scholarships to pursue their international education at University of Reading 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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