QS Rank:

801

University of Hertfordshire

Hertfordshire
,United Kingdom

Program Name
MSc in Data Science with Advanced Research

Deadline
September 26th, 2023
Overview

The MSc in Data Science with Advanced Research at the University of Hertfordshire is designed for individuals aiming to deepen their understanding and expertise in one of the fastest-growing fields today. This advanced program provides a comprehensive curriculum that encompasses cutting-edge techniques in data science, machine learning, and data analytics. Students will engage with the latest tools and methodologies, preparing them not only to analyze extensive datasets but also to derive meaningful insights that can drive decision-making across various sectors. As a graduate of this program, you will be equipped to tackle complex challenges and contribute to innovative solutions in both academic and professional domains.
This Master’s program is structured over a 24-month period, allowing students to immerse themselves in a dynamic academic environment filled with practical and theoretical learning. The curriculum includes specialized courses such as Data Mining, Statistical Learning, and Big Data Technologies, alongside essential modules that enhance research skills and foster critical thinking. Each course is meticulously designed to provide practical exposure through case studies and real-world projects, ensuring that students can apply their knowledge effectively in various contexts. The integration of advanced research methodologies ensures that students leave the program not just as learners but as skilled researchers prepared for significant contributions in the field.
Faculty expertise is a cornerstone of the University of Hertfordshire's educational approach. The professors and lecturers leading the MSc program comprise seasoned professionals and active researchers in data science and related fields. They bring a wealth of knowledge, having published extensively and collaborated with industry leaders. This expertise translates into a teaching methodology that emphasizes hands-on learning complemented by theoretical foundations. Students are encouraged to engage directly with faculty through research projects, fostering a collaborative environment that promotes academic inquiry and innovation.
Research opportunities abound within the School of Physics, Engineering and Computer Science, where students can participate in groundbreaking projects. The university is equipped with state-of-the-art facilities and resources, including advanced computational labs and access to large datasets. Through these resources, students are encouraged to pursue independent research projects that align with their interests, allowing them to contribute original insights to the field of data science. The program also emphasizes partnerships with industry, providing students with a unique opportunity to collaborate with businesses on real-world problems, thereby enhancing their learning experience while building their professional networks.
The University of Hertfordshire maintains strong connections with industry, facilitating numerous internship possibilities and job placements for students in the MSc program. The university's commitment to employability is reflected in its partnerships with leading companies and organizations, which often seek the talented graduates of this program. Career pathways for graduates are diverse and promising, ranging from data analysts and data scientists to roles in research, business intelligence, and consulting. Alumni of this program have achieved notable success, securing positions in reputable companies and contributing to significant advancements in their respective fields.
Here are some exceptional reasons to study Data Science with Advanced Research at the University of Hertfordshire:
- A vibrant, multicultural environment with a large international student body, enhancing global perspectives.
- Access to distinguished faculty who are leaders in data science research and practice, offering mentorship and guidance.
- Modern facilities, including cutting-edge labs equipped with the latest technology to support innovative research.
- Robust internship programs in collaboration with industry partners, enhancing practical experience.
- Strong career support services and resources to assist students in securing employment post-graduation.
- Alumni network providing ongoing support and opportunities for professional advancement in various sectors.
Prospective students should note the eligibility requirements for the program. Applicants are typically expected to hold a bachelor's degree in a related field, such as computer science, engineering, mathematics, or statistics. Additionally, proficiency in English is mandatory, with minimum scores set for standardized tests such as the IELTS (minimum band score of 6.5), PTE (minimum score of 58), and TOEFL (minimum total score of 79). These criteria ensure that students possess the necessary skills to succeed in the program and engage effectively with the curriculum.
In conclusion, the MSc in Data Science with Advanced Research at the University of Hertfordshire stands out as a premier choice for those aspiring to excel in the field of data science. With its comprehensive curriculum, expert faculty, research opportunities, strong industry connections, and focus on employability, this program is tailored to equip students with the knowledge and skills necessary to thrive in an increasingly data-driven world. Join us and take the first step toward a rewarding career in data science.

Duration
24 Months
Ranking
#601
The World University Rankings
#801
QS World University Rankings
Class Profile
Diversity
Europe:
10%Africa:
1%Others:
1%Asia:
5%North America:
2%South America:
1%UK:
80%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
58
TOEFL
79
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.
Application Deadlines
Program Start Date | |
---|---|
Fall | Sep 26, 2023 |
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