The Dual Degree Master of Sciences in Data Science
2 Master degrees from UK and France
Data science is the highest-paying sector and most promising employment in the world (Gartner, 2020). (LinkedIn Career Prospects Report). As the discipline follows the global information, internet, and social network growth, Data Science specialists are in demand not just by technological businesses, but also by huge corporations, international banking, and financial institutions.
Master of Data Science is a dual degree curriculum, a cooperation between the UK National Qualifications Framework (Level 7 – Master) and Paris-U, that enables students to become data science specialists. The curriculum offers students with knowledge about the analysis of raw data sources, the formation of prediction models, in-depth analysis models, action models, and the application of analytical conclusions.
Masters graduates may confidently join a favorable professional environment or engage in in-depth teaching upon graduation. As a fully certified and recognized program, students may enroll in PhD programs at the leading institutions in Europe.
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
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 Universi té Li bérale de Paris (Paris-U) . Both organisations have achieved accreditations and recognition for the institution and programmatic.
Paris-U 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:
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
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 Paris-U: 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.
Exploratory Data Analysis
Fundamentals of Predictive Modelling Advanced Predictive Modelling
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.
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 Paris-U.
Learners must be over 21 years old.
Paris-U 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, Paris-U shall not be accepted.
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
Paris-U 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.
For more information about Paris-U recognition and accreditation, please refer to here
For more information on the programmatic recognition and accreditation and the value of the OTHM Level 7 Diploma in Strategic Management and Leadership, please refer to here
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.
As a crucial component of Liberal Education, Paris-U is the first university in the world to fully implement the APEL.Q (Accreditation of Prior Experiential Learning for Qualifications) approach to acknowledge past experience and knowledge. Assist students in becoming rapidly recognized and entering the labor market.
Please note that, the APEL.Q process will leads to only MBA degree of Paris-U, not dual degree. For more information, read more HERE
Tuition policies are in keeping with the provisions of the Paris-U policy and subject to change without notice. In some case, Paris-U offer variety of Scholarships for International Students.
Université Libéral de Paris
Université Libéral de Paris (Paris-U) offers higher education programmes in English only and that are different from the French National Curricula and Programmes leading to French Government accredited university qualifications, which falls under the French Public Higher Education sector.