MSc Finance and Investment Banking
The MSc Finance and Investment Banking program at the University of Hertfordshire is de...
Hatfield Campus
INTAKE: Jan & Sept
The MSc in Data Science and Analytics with Placement Year at the University of Hertfordshire is a dynamic and forward-thinking program designed to equip students with the knowledge and practical experience needed for a successful career in the field of data science.
Comprehensive Curriculum: The program provides a well-rounded education in data science, covering essential topics such as statistics, data analysis, machine learning, and data visualization.
Cutting-Edge Technologies: Students have the opportunity to learn and apply the latest tools and technologies used in the field, including programming languages like Python and R, big data platforms, and data analytics software.
Practical Experience: A significant highlight of the program is the placement year, where students gain hands-on experience working with real data in a professional setting. This practical experience is invaluable in preparing students for their future careers.
Customized Learning: The program offers various specialization tracks, allowing students to focus on specific areas of interest such as business analytics, healthcare analytics, or financial analytics.
Industry Partnerships: The university maintains strong connections with industry partners, facilitating internship opportunities, collaborative projects, and networking with professionals in the data science field.
Research Opportunities: For those inclined towards research, the program offers opportunities to engage in data science research projects led by experienced faculty.
Ethical Considerations: Students learn about the ethical dimensions of data science, including issues related to data privacy, security, and responsible data handling.
Global Perspective: The program encourages a global outlook, offering opportunities for international collaborations and exposure to diverse data challenges from around the world.
Hatfield Campus
IELTS 6.5
£ 17950
Postgraduate Programs:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Hertfordshire offers a range of scholarships and financial assistance programs to support international students in pursuing their education. These scholarships are designed to recognize academic excellence, encourage diversity, and provide opportunities for students who may face financial barriers.
It is important to note that each scholarship has specific eligibility criteria, application deadlines, and required documentation.
Upon successful completion of the MSc in Data Science and Analytics with Placement Year, graduates have a wide range of career prospects in the ever-expanding field of data science.
Data Scientist: Graduates can pursue roles as data scientists, where they leverage their analytical skills to extract valuable insights from data and drive data-driven decision-making.
Business Analyst: Some may choose careers as business analysts, helping organizations make informed strategic decisions based on data analysis.
Machine Learning Engineer: Those interested in artificial intelligence can work as machine learning engineers, designing and implementing machine learning models.
Data Engineer: Graduates can take on positions as data engineers, responsible for data collection, storage, and processing for analysis.
Data Analyst: Some may opt for roles as data analysts, specializing in data visualization, reporting, and providing actionable insights to businesses.
Quantitative Analyst (Quant): Graduates can explore opportunities in finance as quants, applying data analysis to inform investment decisions.
Healthcare Analyst: For those interested in healthcare analytics, roles involving the analysis of medical data to improve patient care are available.
Research Scientist: Those passionate about research can contribute to advancements in data science by pursuing careers in academia or research institutions.