赫特福德大學(xué)

About the course

The Far STEM route is suitable for you if your first degree where statistical analysis was a dominant feature of their analytical studies, such as chemistry, biotechnology, biochemistry, food science or similar first degrees. You will spend one to two semesters studying appropriate Level 4/5 modules in the first year then joining the Near STEM cohort.

To obtain a Master's degree, you will need to complete an in-depth independent research project.

Why choose this course?

The course will enable to understand the fundamentals of information theory and apply appropriate performance and quality measures to data communication systems.
It will develop your ability to define and apply appropriate analytic, algorithmic and a mix of simulation and hardware tools for reliable data transfer.
The School has over 25 years' experience of teaching electronic engineering and has established an excellent international reputation in this field.
We offer extensive lab facilities for engineering students, including the latest software packages.
Study leading-edge applications such as biometric authentication and speech-based interaction.

What will I study?

Our enthusiastic staff is always looking for new ways to enhance your learning experience and over recent years, we have won national awards for our innovative teaching ideas. In addition, our staff are active in research and useful elements of it are reflected on the learning experience.

The School of Engineering and Computer Science has a reputation for innovation in teaching and learning, where nearly all MSc modules are delivered through a combination of traditional face-to-face teaching and backup tutorial's using the University's StudyNet web based facility. StudyNet allows students to access electronic teaching and learning resources, and conduct electronic discussions with staff and other students.

A heavy emphasis is placed on theory and practice, and the School has a policy of using industrial standard software wherever possible.