MSc Applied Data Analytics

Your degree certificate will indicate you've earned an MSc in Applied Data Analytics. There is no indication that you earned the degree online.‎

With the skills you develop in this programme, you’ll be prepared for career success in a wide array of roles. These include: Data Science Consultant, Data Analyst, Data Scientist, Business Analyst, Developer, Sustainability Data Scientist, Strategy Analyst, Application Development Specialist, Deals Advisory Associate, and more.‎

No.‎

Once you’ve begun your application, you’ll have access to the Queen Mary University of London application portal, where you can track your application and ask questions. Prior to starting your application, you can contact Coursera.‎

You’ll progress through your course with a mixture of readings and video—on your own schedule. You’ll join a 1-hour live session each week with the lecturer to ask questions. You’ll also participate in tutorials and labs each week to work collaboratively in smaller groups facilitated by a tutor.‎

This is a two-year degree programme.‎

Each semester is 12 weeks long. There are 3 semesters each year. The average expected weekly commitment is 18 hours per week.‎

You are required to complete 12 modules to complete the full programme.‎

The programme comprises 12 compulsory modules. You are required to take 6 modules per year.‎

You will be invited to participate in a graduation ceremony and will have the choice of either an on-campus or online ceremony. ‎

No.‎

Many of the faculty members that teach this programme also teach in the on-campus programme.‎

Yes.‎

While the university cannot sponsor any visas required to visit campus, you will have access to on-campus facilities should you choose to visit.‎

You will receive a QMUL student ID card automatically as part of the enrollment process.‎

Upon graduating, you’ll gain access to Queen Mary’s global alumni network, which is an online community of alumni, students, and staff that includes over 31,000 degree students and nearly 4,500 members of staff. ‎

As an online student with QMUL you will have access to our library with a comprehensive range of e-books, e-journals and other digital resources to support your studies. The library also offers study skills support including free short courses. Through the School of Mathematical Sciences you will be able to speak directly to an academic advisor to answer any of your programme related questions.‎

They are not part of the programme. However, you will have access to Queen Mary’s Careers Services, so you will be able to get support in identifying and applying for internships outside of the programme.‎

To gain admission to the programme, you must have:

• A 2.1 degree in a subject with a substantial mathematical component, including, but not limited to: Mathematics, Statistics, Physics, Computer Science, Economics, Finance, Information Technology, and more.

or

• A 2.2 degree in a subject with a substantial mathematical component, plus three years of work experience in a role with substantial statistical reporting or data analytics.

Applications are now open and close August 30, 2022.Click here to start your application. ‎

No, there is no application fee for this programme.‎

No, it is not possible to transfer credits into this programme.‎

The Alumni Loyalty Award is open to all Queen Mary graduates enrolling on a full postgraduate degree programme who are self-funding at least part of their tuition fees. The award offers a 10% discount. ‎

The total two-year programme cost is £19,440. A tuition deposit of £2000 will be required as part of the application process, once an offer has been made, in order to secure your place. This deposit will be credited towards your university fees (and will be taken off your first payment). Further information about deposit deadlines will be available to applicants via their applicant portal.

Queen Mary University of London offers learners the flexibility to pay in instalments. This means you can split your tuition in four payment instalments, twice a year if you pay an additional £50 admin charge. The details are outlined below:

September 2022: £50 payment plan admin charge. This is a non-refundable fee to set up your payment plan.
£2860, equivalent to 50% of year one tuition fees, minus your deposit.

January 31st 2023: £4860, equivalent to 50% of year one tuition fees.

August 28th 2023: £4860, equivalent to 50% of year two tuition fees.

January 31st 2024: £4860, equivalent to 50% of year two tuition fees.

Please note that you will not be able to enrol until the required fees have been received in full.

Methods of payment are also outlined as part of the online enrolment process and more information can be found on QMUL's website.‎

Education and work experience

To gain admission to the programme, you must have:

• A 2.1 degree in a subject with a substantial mathematical component, including, but not limited to: Mathematics, Statistics, Physics, Computer Science, Economics, Finance, Information Technology, and more.

or

• A 2.2 degree in a subject with a substantial mathematical component, plus three years of work experience in a role with substantial statistical reporting or data analytics.

You can check to see if you meet the requirements here. Evidence required

Your degree certificate and, where applicable, your self-declared work experience.

English Language requirements

You can be admitted if:

• You are a native English speaker

or

• You meet the IELTS/TOEFL standard requirements for international students. (6.5 overall, including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking)

Evidence required

Your certificate, if the latter.

Programming

The programming language of choice in this programme is Python. A working knowledge of Python will be expected. ‎

The programming language of choice in this programme is Python. A working knowledge of Python will be expected.‎

Yes, certificates and official transcripts are needed to support applications.‎

Applications are submitted via the Queen Mary University of London portal, here you can track your progress and ask questions.‎

You will need to meet the admissions requirements to be accepted into the programme. You can check to see if your qualifications meet the admissions requirements here. ‎

You can be admitted if:

• You are a native English speaker

or

• You meet the IELTS/TOEFL standard requirements for international students. (6.5 overall, including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking) ‎

Transcripts can be submitted via the QMUL application portal and will be checked by the admissions team.‎

Admission requirements are the same for all students.‎