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Graduate Diploma in Science, Computing and Engineering

Prepare for direct entry to a postgraduate degree in a range of specialist and technical subjects at the University of Stirling.

Course features

  • Develop your knowledge and skills through active learning in your chosen subject area.
  • Guaranteed university placement for all successful students.
  • Adapt to studying in the UK with a strong focus on study and research skills.
  • Improve your English level and develop the vocabulary for your chosen degree subject.
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A quality-assured university programme, validated by the University of Stirling.

Your course options

View detailed course content by selecting one of the options below:

Please select your course delivery method with the toggle below.
Develop both your academic knowledge and English language skills in just nine months.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.


Dates and prices

Start date End date Course length Fees
25 September 2018 7 June 2019 3 Terms £15,075
7 January 2019 23 August 2019 3 Terms £15,075

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.


Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.


What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

Combining your pathway programme with your chosen degree, you can apply for one visa for the full duration of your degree.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.


Dates and prices

Choose your:
Start date:
Course length:

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.


Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.


What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

Please select your course delivery method with the toggle below.
Develop both your academic knowledge and English language skills in just nine months.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.


Dates and prices

Start date End date Course length Fees
23 September 2019 5 June 2020 3 Terms *
7 January 2020 21 August 2020 3 Terms *

*Please note that the prices for courses due to commence in the academic year 2019 – 2020 have not yet been confirmed. The prices shown for the current academic year of 2018 – 2019 will be subject to an increase of up to a maximum of 4%. As soon as the prices for 2019 – 2020 are confirmed they will be updated so please continue to check here for the most up to date information*.


Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.


Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.


What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

Combining your pathway programme with your chosen degree, you can apply for one visa for the full duration of your degree.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.


Dates and prices

Choose your:
Start date:
Course length:

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.


Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.


What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

Please select your course delivery method with the toggle below.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.

Dates and prices

Start date End date Course length Fees
25 September 2018 7 June 2019 3 Terms £15,075
7 January 2019 23 August 2019 3 Terms £15,075

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.

Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.

What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.

Dates and prices

Choose your:
Start date:
Course length:

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.

Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.

What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

Please select your course delivery method with the toggle below.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.

Dates and prices

Start date End date Course length Fees
23 September 2019 5 June 2020 3 Terms *
7 January 2020 21 August 2020 3 Terms *

*Please note that the prices for courses due to commence in the academic year 2019 – 2020 have not yet been confirmed. The prices shown for the current academic year of 2018 – 2019 will be subject to an increase of up to a maximum of 4%. As soon as the prices for 2019 – 2020 are confirmed they will be updated so please continue to check here for the most up to date information*.

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.

Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.

What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

How do I qualify?

English language requirements:

IELTS 5.5 (with a minimum of 5.5 in all subskills) or equivalent.

Academic requirements:

Pass in an undergraduate degree in any academic subject or Diploma (3-5 years) with high grades in any academic subject.

Entry requirements additional information:

If you're intending to progress to the University of Stirling, you may qualify for entry into our Integrated Programme.

Please note that in addition to the UKVI IELTS, INTO is able to accept other English language qualifications. For more information on accepted qualifications, please see: www.intostudy.com/selt-alternatives

Don't meet the English language level?
Apply for our Academic English
Scholarships

Find out if you qualify for one of our pathway scholarships.

When you continue to your degree at the University of Stirling you may also qualify for a progression scholarship worth up to £3,000.

All students are welcome to apply, no matter what your background or financial circumstance.

Dates and prices

Choose your:
Start date:
Course length:

Class information

Class hours:

20 hours per week on average

Class size: 16
Class duration:
  • English classes per week: 6 hours
  • Subject module classes per week: 14 hours
  • Average total per week: 20 hours

Classes are held Monday to Friday between 9.00am-5.00pm, excluding bank holidays.

Where will it take me?

Featured progression degree
INTO Students sit in a lecture

Big Data skills are in high demand and they attract high salaries. Around 88% of data scientists have an MSc, making it a passport to careers in this field.

If you want to become a data scientist, this University of Stirling course is for you. It will give you the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning needed to land your dream job.

This is a one-year, full-time taught MSc where you’ll learn coding skills and develop a firm basis in maths and statistics. It covers Big Data technology, advanced analytics, and industrial and scientific applications.

What will I study?

All students complete modules tailored to your chosen degree subjects.

Please note that the module descriptions shown are for the 2018/19 academic year.

How will I be assessed?

Assessment is both formal and informal. Informally you will receive advice and feedback throughout your programme from your teachers. You will also be assessed by a combination of examinations at the end of each semester, and coursework which may include written assignments, reports, practical exercises, group and individual research projects, presentations and problem-solving exercises.

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