The Dual Degree Master of Science in Data Science2 Master degrees from UK and Switzerland
Data science is the highest-earning industry globally (Gartner, 2020) and the most promising job in the world (LinkedIn Career Prospects Report). As the field accompanies the global information, internet and, and social network explosion, experts in Data Science are sought not only at technology companies but also in large enterprises, international banking, and financial systems.
To become a data science expert, the Master of Data Science programme is a dual degree programme, a collaboration between the UK National Qualifications Framework (Level 7 – Master) and SIMI Switzerland. The programme provides learners with insights from raw data source analysis, forming predictive models, in-depth analysis models, forming action models, and applying analytical results.
After graduation, fresh from the oven Masters can confidently enter a favorable working environment or take part in in-depth teaching. As a fully accredited and recognised programme, learners can enroll in PhD programmes from Europe’s top universities.
Upon graduation, fellows will contemporaneously receive 2 Master degrees:
- The Master Degree belongs to the UK National Regulated Qualification Framework (RQF): Qualifi Level 7 Diploma in Data Science
- Master of Sciences in Data Science from SIMI Switzerland.
The distinctions in accreditation and recognition:
The Master of Sciences in Data Science is a dual degree programme, a collaboration between the national UK level training Qualifi and the Swiss Institute of Management and Innovation (SIMI). Both organisations have achieved accreditations and recognition for the institution and programmatic.
- SIMI is fully accredited by ASIC (Accreditation Service for International Schools, University and Colleges) at the highest Premier Institute level. The Master of Sciences in Data Science programme is accredited by Qualifi, a Level awarding organisation that is accredited by Ofqual.
- Qualifi is the UK’s Level Awarding Organisation, accredited and recognized by Ofqual UK.
The distinctions in learning method
The leaner can provide flexible learning opportunities with various learning method:
- Full time
- Hybrid learning (Live class + the local tutor support in local workshop)
The distinctions in the learner affairs system:
- The Learning Management System
- Institution Management System
- Original E-book in each module
- E-library
- Internship support system (for full-time)
The distinctions in Degree: 2 independent Masters degrees:
- Master Degree according to UK National Qualifications Framework: Qualifi Level 7 Diploma in Data Science.
- Master Degree from SIMI: Master of Sciences in Data Science
The Dual Degree Master of Sciences in Data Science programme consists of 6 mandatory modules and a Master Dissertation/ Capstone Projects/ Work-based Project for a combined total of 160 credits, lasting a minimum of 1.5 years.
Mandatory modules:
- Exploratory Data Analysis
- Statistical Inference
- Fundamentals of Predictive Modelling Advanced Predictive Modelling
- Time Series Analysis
- Unsupervised Multivariate Methods Machine Learning
After each module, learners will take an ending exam. The end-of-module exams are application-oriented essays to help learners review knowledge, apply knowledge in the workplace, and improve the practical environment.
Dissertation/ Capstone Projects/ Work-based Project (60 credits)
- Dissertation/ Capstone Projects/ Work-based Project
- Defend Dissertation/ Capstone Projects/ Work-based Project
Dissertation/ Capstone Projects/ Work-based Project
Dissertation/ Capstone Projects/ Work-based Project will be associated with the data sciences solutions in the workplace.
Entry requirements
To enrol the Dual Degree Master of Sciences in Data Science, the learner must possess:
- Graduated with a Bachelor’s degree from an accredited university or achieved a Level 6 Diploma according to the European Qualifications
- For a degree from non-recognized universities; The learner should have followed the Recognition of Prior Learning (RPL) policy of SIMI.
- Learners must be over 21 years old.
SIMI reserves the highest decision-making power for admission whether to accept or not accept after a specific review of each candidate’s profile to ensure that they can comprehend and gain benefits when participating.
For the fake university or the diploma mills, SIMI shall not be accepted.
English requirements:
If a learner is not from a predominantly English-speaking country, proof of English language proficiency must be provided.
- Common European Framework of Reference (CEFR) level B2 or equivalent
- Or A minimum TOEFL score of 101 or IELTS 6.5; Reading and Writing must be at 6.5 or equivalent
SIMI Switzerland has been accredited the “premier institution” status by the ASIC, and the programme is also accredited by Ofqual’s UK.
The programmes are strictly accredited by prestigious organisations; then, the graduated learner confidence participates in the labour market or/and easy learning connected to prestigious and equivalent educational systems
Upon completing the Dual Degree Master of Sciences in Data Science programme, the learner will receive 2 Master degree:
- Master Degree according to UK National Qualifications Framework: Qualifi Level 7 Diploma in Data Science.
- Master Degree from SIMI Swiss: Master of Sciences in Data Science
Qualifi Level 7 Diploma in Data Science
Qualifi Level 7 Diploma in Data Science is a qualification in the UK Regulated Qualifications Framework, recognised not only by the UK government but also globally.
Qualifi Level 7 Diploma in Data Science:
- Level 7 according to the Regulated Qualifications Framework (RQF) and Europe Qualifications Framework (EQF)
- Sufficient training duration for Master qualification: 120 Credits
| Programme Description | |
|---|---|
| Ofqual inspection code | 603/6693/X |
| Level UK Regulated Qualifications Framework | RQF |
| Minimum training time | 1 Year |
| Total credits | 120 Credits |
| Total Qualification Time | 1200 Hours |
| Guided Learning Hours | 480 Hours |
| Language | English |
| Training Unit | Accredited and licensed by the Level UK |
| Examination unit | Level UK |
| Licensing Unit | Qualifi UK |
Equivalence recognition of UK Level 7 Diploma with qualifications systems and levels of other education systems in the world:
| Level | Regulation framework | Equivalent Degrees |
|---|---|---|
| 7 | Regulated Qualifications Framework (RQF) | level 7 diploma level 7 NVQ postgraduate diploma |
| 11 | Scottish Credit and Qualifications Framework (SCQF) | Masters Degrees Post Graduate Diploma SVQ 5 |
| Master Degree | Framework for Higher Education Qualifications (FHEQ) | integrated Master's Degree, for example, Master of Engineering (MEng) Master's Degree, for example, Master of Arts (MA), Master of Science (MSc) |
| 7 | European Qualifications Framework (EQF) | Masters Degrees Post Graduate Diploma |
| 9 | Australian Qualifications Framework (AQF) | Masters Degrees |
| 9 | African Continental Qualification Framework (ACQF) | Masters Degrees Post Graduate Diploma |
| 7 | ASEAN Qualifications Reference Framework (AQRF) | Masters Degrees Post Graduate Diploma |
Master of Sciences in Data Science from SIMI Swiss
In addition to the UK Level 7 Diploma, after graduating from the programme, learners also receive a Master of Sciences in Data Science from the Swiss Institute of Management and Innovation (SIMI).
After completing the Dual Degree Master of Sciences in Data Science programme, learners can continue to study to Level 8 (Doctor) or transfer to other education systems. The following table shows the development pathways after completing the programme:
| Level | Qualification framework | Equivalent Degrees |
|---|---|---|
| 8 | Regulated Qualification Framework (RQF) | Level 8 diploma |
| 12 | Scottish Credit and Qualifications Framework (SCQF) | Doctoral Degrees Professional Development Awards |
| Doctoral Degree | Framework for Higher Education Qualifications (FHEQ) | Doctorate, for example, doctor of philosophy (PhD or DPhil) |
| 8 | European Qualifications Framework (EQF) | Doctorate, for example, doctor of philosophy (PhD or DPhil) Level 8 Diploma |
| 10 | Australian Qualifications Framework (AQF) | Doctoral Degree |
| 10 | African Continental Qualification Framework (ACQF) | Doctoral Degree |
| 8 | ASEAN Qualifications Reference Framework (AQRF) | Doctoral Degree Level 8 Diploma |