This course combines in-depth study of the theory and practice of data science with an optional year-long work placement, where you’ll get the chance to apply your knowledge to industry-relevant challenges. A placement also allows you to discover the business value of data-oriented research and development.
You’ll acquire solid technical knowledge of data science principles and practices, machine learning and data mining, practical business analytics, database systems and cloud computing. You can also customise this MSc with optional modules in information security, sensors and advanced artificial intelligence.
Finally, you’ll complete a dissertation where you can further explore an area that interests you. Our dissertation projects involve topical real-world problems, often linked into cutting-edge research.
Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements and interactive development tools.
Graduates of this course are in high demand across many sectors, and go on to roles such as data scientist, data analyst, data engineer, data architect or business analyst.
To apply for one of our postgraduate courses that require a UK 2:1, you must achieve a bachelors degree with a GPA of 2.6 or 2.8 out of 4.0 (65 or 70%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 2.8 or 3.0 out of 4.0 (70% or 75%), depending on the institution at which you studied.
For courses that require a UK 2:2, you must achieve a bachelors degree with a GPA of 2.4 or 2.6 out of 4.0 (60% or 65%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 2.6 or 2.8 out of 4.0 (65% or 70%), depending on the institution at which you studied.
For courses that require a UK first-class degree, you must achieve a bachelor's degree with a GPA of 2.8 or 3.0 out of 4.0 (70% or 80%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 3.0 or 3.2 out of 4.0 (75% or 80%), depending on the institution at which you studied.
IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other component.
The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If this applies to you, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims.
Optional modules for Year 1 (full-time with placement - 2 years) - FHEQ Levels 6 and 7
4 modules of 15 credits each (60 credits total), year 1, semester 1: students must choose 1 module from 2 optional
4 modules of 15 credits each (60 credits total), year 1, semester 2: students must choose 2 modules from optional modules available
|
Module title
|
Status
|
Semester
|
|---|---|---|
| ALIGNING BUSINESS VALUE WITH RESEARCH AND DEVELOPMENT | Core | Cross Year |
| PROFESSIONAL POSTGRADUATE YEAR REPORT | Core | Cross Year |
| MSC DISSERTATION | Core | Year-long |
Optional modules for Year 2 (full-time with placement - 2 years) - FHEQ Levels 6 and 7
1 module of 30 credits reflecting placement learning, year 2
1 module of 30 credits reflecting business relevance, year 2
1 dissertation module of 60 credits, across academic years
This course combines in-depth study of the theory and practice of data science with an optional year-long work placement, where you’ll get the chance to apply your knowledge to industry-relevant challenges. A placement also allows you to discover the business value of data-oriented research and development.
You’ll acquire solid technical knowledge of data science principles and practices, machine learning and data mining, practical business analytics, database systems and cloud computing. You can also customise this MSc with optional modules in information security, sensors and advanced artificial intelligence.
Finally, you’ll complete a dissertation where you can further explore an area that interests you. Our dissertation projects involve topical real-world problems, often linked into cutting-edge research.
Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and eSAVE & CLOSEvents bookings, jobs, placements and interactive development tools.
Graduates of this course are in high demand across many sectors, and go on to roles such as data scientist, data analyst, data engineer, data architect or business analyst.
To apply for one of our postgraduate courses that require a UK 2:1, you must achieve a bachelors degree with a GPA of 2.6 or 2.8 out of 4.0 (65 or 70%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 2.8 or 3.0 out of 4.0 (70% or 75%), depending on the institution at which you studied.
For courses that require a UK 2:2, you must achieve a bachelors degree with a GPA of 2.4 or 2.6 out of 4.0 (60% or 65%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 2.6 or 2.8 out of 4.0 (65% or 70%), depending on the institution at which you studied.
For courses that require a UK first-class degree, you must achieve a bachelor's degree with a GPA of 2.8 or 3.0 out of 4.0 (70% or 80%), depending on the institution at which you studied. If you have studied a two or three-year bachelors degree plus a masters degree, you must achieve a GPA of 3.0 or 3.2 out of 4.0 (75% or 80%), depending on the institution at which you studied.
IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other component.
The University of Surrey recognises that many students enter their higher education course with valuable knowledge and skills developed through a range of professional, vocational and community contexts. If this applies to you, a process called recognition of prior learning (RPL) may allow you to enter your course at a point appropriate to your previous learning and experience, or to join the start of a course without the formal entry requirements. This means that you may be exempt from certain elements of study in the course for which you have applied and be awarded credit based on your previous qualifications/experience. There are restrictions on RPL for some courses and fees may be payable for certain claims.
Optional modules for Year 1 (full-time with placement - 2 years) - FHEQ Levels 6 and 7
4 modules of 15 credits each (60 credits total), year 1, semester 1: students must choose 1 module from 2 optional
4 modules of 15 credits each (60 credits total), year 1, semester 2: students must choose 2 modules from optional modules available
|
Module title
|
Status
|
Semester
|
|---|---|---|
| ALIGNING BUSINESS VALUE WITH RESEARCH AND DEVELOPMENT | Core | Cross Year |
| PROFESSIONAL POSTGRADUATE YEAR REPORT | Core | Cross Year |
| MSC DISSERTATION | Core | Year-long |
Optional modules for Year 2 (full-time with placement - 2 years) - FHEQ Levels 6 and 7
1 module of 30 credits reflecting placement learning, year 2
1 module of 30 credits reflecting business relevance, year 2
1 dissertation module of 60 credits, across academic years
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