MSc in Data Science and Analytics with Placement

at University of Hertfordshire

• Apply acquired skills in practical settings to gain hands-on industrial experience.
• Focus on advanced topics such as mathematical foundations, programming for data science, data mining, machine learning, neural networks, and applications of data analytics.
• Learn from a distinguished and well-established computer science department with a strong reputation in the field.
• Engage in a blend of lectures, seminars, and practical sessions that leverage modern technologies and industry-standard software, preparing you for real-world challenges in data-driven environments.

Modules

• Data Mining
• Neural Networks and Machine Learning
• Preparation for Placement
• Foundations of Data Science
• Applied Data Science and Analytics.

Important Dates

Prospective applicants are encouraged to initiate their application process well in advance of the September intake. It is advisable to commence preparations approximately one year beforehand, considering potential additional requirements such as demonstrating proficiency in English through exams like IELTS or TOEFL.

• Applicants should hold a bachelor's degree in a related field with a grade ranging from 55% to 65%, depending on the specific course requirements. 
• A strong Honours Degree (or its equivalent) in computer science or a closely related discipline is preferred.
• IELTS score requirement: Achieve an overall score of 6 out of 9, with no band score lower than 5.5.

The MSc in Data Science and Analytics with Placement fees are £18,950/Yr. Prospective students should consult the university's website for details regarding tuition fees and explore available financial aid options such as scholarships and student loans to mitigate the financial obstacles associated with pursuing advanced education.

Graduates of the MSc in Data Science and Analytics with Placement programme can look forward to a diverse range of promising career opportunities. The inclusion of a placement year enhances employability significantly, preparing graduates for leadership roles in data-driven industries. The practical experience gained during the placement year equips graduates with the skills and confidence needed to excel in leadership positions within dynamic and data-centric industries.