UCAM University

Master In Data Science

We know the amount of data produced globally daily is 2.5 quintillion bytes, which is enormous and is expected to keep increasing as the world’s population gets more access to the internet. The data is now considered a commodity that is more valuable than oil, and buried in these data are answers to countless questions. Data Science helps to deal with these vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. When the opportunity in data science comes knocking at your door, will you be ready?

Program Overview

The Master in Data Science program aims to prepare students with a well-rounded education in different areas of Data Science to prepare themselves to become successful data scientists. The curriculum is made up of 4 core modules and 2 specialization modules providing in-depth knowledge in the field of Data science and its industrial application. Students will learn how to work with data to solve complex problems. Topics covered include Python, Data Science Algorithms, Data Analytics in Business & Data Mining. In the master’s program students will also learn two specialization modules in (I) Statistical Data Modelling and (II) Applications of Data in Artificial Intelligence & Block Chain. At the end of course modules, all students are required to undertake a capstone project in Data Science to have hands-on working experience by solving real-world problems. 

Fee Structure

AED 32,000

Course Duration​

12 months

Awarding Body

UCAM

Study Mode

Blended Learning

Currency Converter 3, February 2023

Training Key Features

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Modules

Module Description

This module inculcates practical understanding and a framework that allows the execution of essential analytics actions such as extracting, cleaning, changing, and analysing data. In this module, learners grasp the knowledge of programming languages, tools, frameworks, and libraries utilised throughout the course to acquire and model data sets. Data analysis is accomplished through visualising, summarising, and developing rudimentary data handling abilities by paying attention to variable types, names, and values. In addition, managing data using dates, strings, and other elements, enhances learners’ abilities to perform data research and generate visualisations.

Learning Outcomes

L01: Analyse information using data visualisation, summary, and counting tools.

L02: Acquire rudimentary skills in data handling, focusing on variable types, names, and values.

L03: To learn how to use the pipe operator to combine numerous tidying operations in a chain.

L04: The ability to work with data that includes dates, strings, and other variable

Content Covered
  •  Data Cleaning Techniques
  •  Data Preprocessing
  •  Data Manipulation
  •  Core Python Programming
  •  Data Visualisation using Matplotlib
  •  Linear Algebra
  •  Statistics and Probability
  •  Exploratory data analysis
  •  Variance, Standard Deviation, Median
  •  Bar charts and Line charts
  •  Python libraries and framework in data analysis
  •  2D Scatter Plot
  •  3D Scatter plot
  •  Pair plots
  •  Univariate, Bivariate, and Multivariate
  •  Histograms
  •  Boxplot
  •  IQR (InterQuartile Range)
  •  Data analysis with Pandas
Module Description

This module addresses the principles of creating reliable spreadsheet models, translating conceptual models into mathematical models, and applying them in spreadsheets. It also demonstrates a knowledge of three analytic tools in Excel, Excel functions, and the process of auditing spreadsheet models to assure accuracy. Additionally covered in this module are Decision analysis, Payoff Tables, and Decision Trees. Microsoft Power BI helps users derive practical knowledge from data to solve business concerns, bringing analytical models to corporate decision-making. Learners acquire insight into advanced analytic features of Power BI, such as prediction, data visualisations, and data analysis expressions.

Learning Outcomes

LO1: Critically analyse the use of business data in an organisational decision-making context.

LO2: Demonstrate a critical understanding of business analytics principles in management functions.

LO3: Apply appropriate data management and analysis techniques to retrieve, organise and manipulate data.

LO4: Apply appropriate statistical data analysis methods and visualisation techniques to make sound business decisions.

Content Covered
  •  Creating Spreadsheet models
  •  What-If analysis
  •  Functions for modelling
  •  Auditing Spreadsheet models
  •  Predictive and Prescriptive Spreadsheet models
  •  Problem Identification
  • Decision Analysis
  •  Decision Analysis with or without Probabilities
  •  Computing Branch Probabilities
  •  Utility Theory
  •  Data streaming in Power BI
  •  Visualisation in Power BI
  •  Data Analysis expressions
  •  Report Views in PowerBI
  •  Data Sorting
  •  Data Transformation
Module Description

The data mining process includes collecting necessary information from enormous databases that help make a knowledgeable decision. The module demonstrates data mining techniques like data processing, pattern discovery, and trends in information. These methods are employed to obtain the skills and abilities for applying data integration, cleansing, selection, and transformation on tables and graphs for knowledge discovery. Python matrix libraries allow learners to construct some realistic representation of text mining by executing tasks such as classification, estimation, segmentation, forecasting, sequence, and data association.

Learning Outcomes

LO1: Understand the fundamentals of text mining and analysis, including identifying exciting patterns, extracting helpful knowledge, and supporting decision-making.

LO2: Explore fundamental principles of text mining and essential algorithms and some of their practical applications.

LO3: Applying the learned knowledge and skills to implement scalable pattern discovery techniques on large volumes of transactional data

LO4: Engaging in meaningful discussions about pattern evaluation metrics and investigating techniques for mining various patterns, including sequential and sub-graph patterns.

Content Covered
  •  Introduction to Data mining
  •  Data Mining in a Python-based environment
  •  What is a data warehouse
  •  How to find patterns?
  •  Affinity Analysis
  •  Product rесоmmendаtіоn
  •  Introduction to Database Mining
  •  Databases and SQL
  •  DDL, DML, Joins, and Schemas
  •  How to use Python Matrix Libraries on Datasets.
  •  Lоаd the Dataset with NumPy
  •  Mining-friendly data representations
  •  Text Representation for Data Mining.
  •  Why is text complex?
  •  Text mining
  •  Data Modelling, Evaluation, and Deployment in Text Mining
  •  Exemplary techniques: Bag of words representation in Text Mining
  •  Frequent Subgraph Mining
  • Data Filtering
  • Power Query Editor
  •  Risk Analysis
  •  Sensitivity Analysis
Module Description

This module provides extensive knowledge of splitting data into training, validating, and creating test sets. Develop and assess predictive mining models by integrating a framework and practical perception. There are numerous performance metrics for estimation and categorization systems presented. The most prevalent predictive modelling approaches, including artificial neural networks, support vector machines, k-nearest neighbour, Bayesian learning, ensemble models, and different decision trees, are reviewed in this module, along with their internal workings, capabilities, and applications. Most of these strategies can tackle prediction difficulties of the classification and regression kinds. They are commonly employed to address challenging prediction challenges when other, more traditional approaches fail to deliver results.

Learning Outcomes

LO1: Introduce the fundamental algorithmic concepts, including sorting and searching, divide and conquer, and complex algorithms.

LO2: Sort data and use it for search; break down a huge problem into smaller ones and answer them recursively; apply dynamic programming to genomic research; and more.

LO3: Discuss and construct the most often used data structures for modern computing

LO4: To be able to use the most industry-used data structures in modern computing

Content Covered
  •  Static Holdout Method
  •  k-Fold Cross-Validation
  •  Class Imbalanced Data
  •  Evaluating the Classification of Categorical Outcomes
  •  Evaluating the Estimation of Continuous Outcomes
  •  Logistic Regression
  •  K-nearest Neighbour
  •  Nearest Neighbor Method for Prediction
  •  Classification and Regression tree
  •  Support Vector Machines
  •  Process-Based Approach to the Use of SVM
  •  Naïve Bayes Methods
  •  Bayesian Networks
  •  Neural Network Architectures
  •  Ensemble Modelling

Specialisation Modules

Course Description

This module gives learners the insight to apply many prediction models and grasps linear regression. Create predictions based on a group of input variables using regression analysis methods. Learners investigate how to model an extensive range of real-world interactions using complicated statistical methodologies, such as generalised linear and additive models. This module inculcates intermediate and advanced statistical modelling methodologies. It is specifically created for learners to develop proficiency in linear regression analysis, experimental design, and extended linear and additive models. Based on these skills, interpreting data, discovering links between variables, and generating predictions are made simpler via intuitive representations.

Learning Outcomes

LO1: Differentiate between various types of predictive models and Master linear regression

LO2: Understand the inner workings through algorithms of different models

LO3: Analyse and explore the results of logistic regression and understand when to discriminant analysis

LO4: Maximise analytical productivity by analysing different models and interpreting their accuracy in a well-organised manner

Content Covered

  •  Selecting a Sample
  •  Point Estimation
  •  Sampling Distributions
  •  Interval Estimation
  •  Hypothesis Tests
  •  Statistical Inference and practical significance
  •  A Simple Linear Regression Model
  •  Least Square method
  •  Inference and Regression
  •  Multiple Regression Model
  •  Logistics Regression
  •  Predictions with Regression
  •  Model Fitting
  •  Tableau data model
  •  Shape and data transformation using Tableau Query Editor
  •  Tableau Report View

Course Description

In this module, learners will better grasp artificial intelligence (AI) applications in business and comprehend AI decision-making. Through breakthroughs in IoT and the emergence of Blockchain, this curriculum prepares students with a broad foundation of AI-enabled software solutions. As learners continue through this module, they become acquainted with the technology that powers the automated world—knowing the sorts of algorithms and how they may be utilised to enhance or replicate human behaviour across diverse applications. This module teaches about AI, IoT, Blockchain, and machine learning components while building on a solid conceptual framework that will present rigorous, hands-on, and step-by-step ways to tackle realistic, complex real-world challenges.

Learning Outcomes

LO1. Introducing Artificial Intelligence (AI), exploring its features and variants in the business domain. Furthermore, to understand the business context of AI and interpret AI decision-making.

LO2. Understand & create an AI implementation plan for a business setup through recognition of suitable model parameters

LO3: To further explore the components of Blockchain and understand Distributed Ledger Technology (DLT) concept, features, benefits, and relevance in application

LO4: Understanding Hyperledger, Smart Contracts, and IoT (Internet of Things) in applied business models to assess the impact in the long term

Content Covered

  •  Introduction to Artificial intelligence
  •  AI enables applications
  •  What is Deep Learning
  •  Artificial Neural Networks
  •  Image Processing and OpenCV
  •  Introduction to NLP
  •  Artificial Neural Networks
  •  Text Processing
  •  Text Classification
  •  Topic Modelling
  •  Recurrent Neural Networks
  •  Major components of IoT
  •  Variety of Sensors
  •  Actuators
  •  IoT protocols at various layers
  •  Applications and user interface in IoT
  •  Smart factories of tomorrow and the Industrial Internet of Things
  •  Introduction to Blockchains
  •  Introduction and usage of Hyperledger and Smart Contract
  •  Blockchains Structure
  •  Centralised, Decentralised, and Distributed systems
  •  Introduction to DLT
  •  DLT features, benefits, and usage in Blockchain
  •  Types of Blockchains
  •  Why Blockchain?
  •  Building AI and ML applications using Blockchain technology

Capstone Project

Module Description

The purpose of this module is to discuss and explain the role of Data science and its practices in an organisation and their influence on the overall performance and competence of the organisation. This module is designed to develop an understanding of the contemporary practices and competence to develop a research or design question, illustrate how it links to current knowledge and carry out the study in a systematic manner. Learners will be encouraged to pick a research/development project that displays their past learning in the data science domain. It is meant to acquire an understanding of Data Science and the paradigm shift in the approaches and methods related to various functions of DS like data visualisation, probability, inference and modelling, data mining, data organisation, regression, and machine learning to name a few. It also endeavours to highlight the role and significance of data analytics and data modelling during the planning, decision-making, and implementation of change in the organisation. Upon completing the module, the participants will have comprehensive knowledge about the broader data analysis context and a data product to demonstrate their data science expertise to potential employers or educational programs.

Learning Outcomes

LO1: Conduct independent Research and Development within the context of a Data Science Project.

LO2: Developing the ability to solve problems using analytics and data science independently.

LO3: Communicate technical information clearly and succinctly to a broad, non-specialist audience.

LO4: Create detailed written documentation to a standard expected of a professional in the field of Data Science & evaluate Project outcomes concerning key research publications in the relevant field.

Learning Resources

Live & interactive lectures by expert faculties

Recorded session for offline viewing

World-class curriculum by eminent faculty

Regular webinars by industry leaders

Assignments for module assessments

Easy-to-use LMS accessible anywhere

Online library to further enhance your knowledge

Dissertation on your area of research work

What you’ll get as a Masters student with Exeed College

In-depth Knowledge of Your Field

Increased Opportunities

A Higher Earning Potential

Reputation and Credibility

Better Networking Skills

Keeps You Competitive

Program Faculty

Dr.-Mark-Anthony-S.-Naval

Dr. Mark Anthony S. Naval

Faculty in Education

Dr. Mark Anthony S. Naval

Dr. Noor un Nisa Shahani

Faculty

Dr. Noor un Nisa Shahani
Dr. Noor holds the degree of PhD in Commerce (Management Sciences) from University of Sindh, Jamshoro, Pakistan. Her research interest includes Organizational Behavior, Business Creativity, HR Practices and General Management. She has 10 years of teaching experience at University Level. She also holds a high reputation due to her extraordinary contribution in Research and got award for outstanding research contribution in 2021 by Bath Spa University, UAE. As a trainer Dr. Noor has conducted professional trainings on Research methods Quantitative and Qualitative Analysis. Where she has had the opportunity to train, interact and learn from highly qualified faculty. She has around 30 national and International research publications.

Shahid Wani

Senior Faculty

Shahid Wani
Shahid holds 8 years of experience in Business and Finance, both industrial and academic. For the first 3 years of his working career, he worked for the British Civil Service in the financial domain. He has also been an active volunteer for an NGO in India, specifically working on social issues like women’s empowerment, child education, child labour, and dowry. Shahid started his teaching career as a lecturer in India and has accomplished himself as a valuable faculty in various domains of business management, especially in the areas of Accounting, Finance, Risk, and Banking. He is also well equipped and experienced in business areas like HR, Supply Chain, Operations, sustainability, and so on. Besides he is also an established Trainer with years of experience in the Education & Corporate sector in the UAE & India. He earned his Master’s degree in Accounting & Finance from the University of Huddersfield, United Kingdom. Currently, he is pursuing his certification from the Association of Chartered Certified Accountants (ACCA) body, UK. He is also a successful diploma holder in the areas of Leadership and Conflict Management. Being a sports enthusiast, Shahid is a State level cricket player and has played across many states in India and local clubs in the United Kingdom. He has won many certifications and awards in various other sports including basketball and hockey.

Salma Yehia

Faculty

Salma Yehia
Salma Yehia is a lecturer and research analyst in the areas of Marketing and Business Studies with extensive 7-year experience in academia. She started her teaching career as a lecturer in Egypt at the German University in Cairo (GUC) and has proved herself as a valuable faculty in various domains especially Marketing and Strategic Management. She is also experienced in other business studies as Human Resource Management, International Business, Strategic Leadership, and Business Sustainability. Alongside Salma has professional research experience and has excelled as a Research Assistant on numerous fieldwork research projects in Egypt, Germany, and UAE. Salma holds an MSc in Business Administration with a specialization in Marketing from the GUC. And is currently pursuing her PhD degree at Phillips-University in Marburg; with a thesis titled “The effect of living in a sustainable city on sustainable consumption: a comparative analysis between Germany and UAE”. Her research interests lie in the areas of international marketing, sustainability, consumer psychology, and corporate social responsibility. She has published and presented proceedings at international conferences in Egypt, Germany, and Turkey. In addition to academia, Salma practices Pilates and is passionate about travelling, exploring new destinations, and experiencing diversified cultures.

Dr. Rekha Shewakramani

Faculty

Dr. Rekha Shewakramani
Dr Rekha Shewakramani has a Doctorate in Management with a specialization in Human Resource Management. Her research focuses on organizational behaviour which associates with a performance at work and contentment in an organization. Rekha has been awarded various accolades in the field of research and management in human resources. Her key achievement was to receive the title of the researcher of the year in 2019 for her presentations and publications in the research field. Rekha started her teaching career in UAE in the year 2020 and has successfully trained various professionals for the certification and courses that have accreditation from the UK. Her hands-on experience in teaching undergraduate and post-graduate students in India is now serving as an encouragement to serve and train professionals about the practices of management across different nations. She has recently become an Associate member of CIPD (Chartered Institute of Personnel and Development, UK) in the year 2022. Being a gold medallist in Master of Business Administration, her research work has been chosen and published in some of the UGC Listed Journals in India. She has always been a part of the education industry by serving as a counsellor, trainer, and research fellow which has helped her in attaining the confidence in developing content and imparting knowledge using a combination of practical and theoretical tools.

Maria Monica

Faculty and Course Leader

Maria Monica
Maria is an academician with over seven years of teaching experience for Postgraduate and Undergraduate programs. Areas of expertise and research interests include the field of accounting, finance, taxation, banking & education. Published several articles in national and international journals. She is currently pursuing her PhD. Other Qualifications – M. Com (Accounting & Taxation), B. Com (Finance), PGDBI (Banking & Insurance), B.Ed. (Pedagogy Commerce) and UGC NET.

Rajashree K.N

Senior Faculty and Course Leader

Rajashree K.N
Rajshree’s qualification entails MBA in Human Resources, Bachelor’s in Science, and BA in Arts. Prior to her 8-year stint in education, she had the privilege to work as human resource personnel in organizations like GE, Nissan, Fullerton India, and Standard Chartered Bank for a span of 8 years.

Mohamed Irfan Shaikh

Program Head – MBA Courses

Mohamed Irfan Shaikh
Irfan brings with him a prosperous ten years of academic and industry experience. After leading a packaging plant for three years, he shifted to academics and never left. He has taught in the business and management departments of the UK, European, and Indian-based universities and even contributed as an internal verifier for SQA briefly. He is also a content creator for Blockchain and Analytics-based programs under the business domain. He has completed many successful projects for the RAK Recycles initiative of the Ras al Khaimah government and is still associated with sustainable projects. He is pursuing a PhD in Management and holds a Master’s in Management Studies and Bachelor of Engineering while achieving AFHEA from HEA, UK. His areas of interest are Business Analytics, Blockchain Applications, Multivariate Analysis, Quantitative Methods, Decision Science and Operations Research.

Dr. Vivek Mohan

Dean – Academic and Student Affairs

Dr. Vivek Mohan
Dr Vivek is an award-winning researcher with several years of experience leading the design, delivery and digital transformation of programs in higher education in the UK, Europe and the Middle East. He had previously taken up Faculty and Researcher positions at Sheffield Business School, UK, and Leeds Business School, UK. His corporate training and consulting portfolio includes firms such as PricewaterhouseCoopers, International Cricket Council, WJ Ground Water and Petrofac. Dr Vivek holds a PhD in Business Management and an MSc in International Business from the UK and is certified in education design for higher education from Sydney (UNSW), blockchain essentials (UCLA), blended learning essentials from the UK (UCL-Leeds), and in Project Management from CMI, UK. He is also a certified member of the British Academy of Management and served as the editorial board member of the International Journal of Family Business and Management in the US. He is also a sports enthusiast and plays competitive badminton and basketball.

If you’d like to gain the complete skill set to succeed in today’s business world, this is the area for you.

Who Can Apply for the Course?

  • Any graduate who has a keen interest in Data Science.
  • Professionals looking to learn about data analytics.
  • Business person trying to acquire technical skills to solve their data problems
  • Professionals aiming to upskill their career for better job opportunities
  • Professionals who wish to transition to roles such as Data Scientist.

Eligibility

  • Bachelor’s Degree from a recognized University
  • Proficiency in English language

Prerequisites

Due to its involvement in modern Machine Learning algorithms with maths and programming, candidates having knowledge of linear algebra, probability, and calculus could be a plus.

Capstone Projects

Showcase your capabilities with real-world projects

Bring Your Own Project

Learn to solve a problem that you/your organization is facing using Data Science

or

Choose From Curated Capstone Projects

  1. House Rental Prediction
  2. Image Classification
  3. Business Insights Reporting

Skills Covered

  • Python for data science
  • Data analysis
  • Data Mining
  • Data Analytics in Business
  • Algorithms in Data Science
  • Data in AI & Blockchain

Tools/ Frameworks/ Libraries

Scripting Tools

Python

Tools/Libraries

Pandas, numPy, seaborn, matplotlib, cufflinks, scikit, NLTK, CoreNLP, spaCy, PyNLP, Tensorflow, Keras, Open CV, Power BI, Excel

IDE Shell

Jupyter Notebook, google colab, pycharm, visualstudio code

Application and Use Cases

  • Traffic Management: Data Science can identify the cause of congestion & manage traffic effectively
  • Road Safety: Data Science can help us identify accident hotspots & recommend safety measures
  • eCommerce: Data Science can gain behaviour patterns & provide recommendations to customers
  • Banking: Data Science can handle customer data, detect fraud, manage credit risk in allotting loans
  • Marketing & Sales: Data Science helps businesses to market & sell product to the right audience.
  • Health Care: Data Science is used for drug discovery, predicting anomalies, and monitoring patient health
  • Forecasting: Data Science can be used to predict future happenings by analysing historical data.
  • Manufacturing: Data Science can automate large-scale processes & speed up implementation time
  • Retail: Data Science can help with demand forecasting, pricing decisions & optimise product placement

Career Support

Placement

Exeed College’s high level of instruction has attracted an increasing number of companies and the placement scene is expanding. Candidates who excel in internships will be eligible for placement at top MNCs that work with Exeed College.

  • Deliver five proof-of-concept a month
  • We will have our partner companies review the POCs
  • JD-based Support training
  • Placement in MNC

Internship/Project

Exeed Collge provides internships in the respective field for 5-6 months to all eligible and able students.

INTERNSHIP/PROJECT INCLUDES

  • Mentoring by software developers
  • Live workshops on projects
  • Internship certificate
  • Candidate's evaluation

After successfully completing the learning modules, eligible students would move on to internships.

What is included in this course?

Our Alumni Work At

Our learners occupy top positions in companies across industries and some of the world’s best-known firms
ADNOC
Cleveland Clinic
Netflix
Nokia
Talabat
Unicef
Qatar Airways
Pfizer
Etisalat

Speak to our Admission Team

FAQs

The course will be delivered by senior faculty with decades of experience in Management and Engineering. The panel of faculty have experience in academia as well as industry and this makes them quite suited for teaching professionals who are looking for the next big career progression. Our faculty hold doctorates from international universities like Dundee, Ohio, Texas, Leeds, and Stellenbosch, to name a few, and they have experience working with global organizations. The faculty include senior Director of Two South African firms, a veteran educationist who is a pioneer in online education; a business action coach and an HR Business Partner.

The evaluation is based on assignments for the modules and a Dissertation (project) towards the end of the program. We deliver one module at a time and each module will last for a 1-month post, in which you get a week’s time to complete the assignment. The finished assignment should be uploaded in the Learning Management System (LMS). The faculty will evaluate the assignment and publish your result on the same platform.

Exeed College has implemented a teaching methodology with a greater focus on practical expertise. After the enrollment, you will be given a unique user ID and password to access our online LMS. Our teaching is based on case studies presented via HD videos, which increases students’ involvement, and promotes active learning. The course can be done 100% online. Lectures will be delivered through our LMS and the assignments are to be submitted as a soft copy using your student login. Students benefit from 24/7 access to our award-winning study platform and online resources, which include the necessary study materials for their program:

  • Live interactive classes by senior faculties
  • A recorded session for offline viewing
  • Case studies delivered in HD-quality video
  • Online resources and publications
  • Full academic support
  • E-Books and revision kits
  • Quick tests for challenging your knowledge of key concepts and theories
  • A dedicated online forum for interaction with tutors and classmates
  • Access to success manager
  • Self-assessed mock assignments
  • Live chat feature for any technical support needed

Apart from 8 live interactive sessions for each module, the learners will benefit from the advantage of having these sessions recorded and archived in their LMS, in order to catch up with the missed live sessions. The learners will also have access to the bite-sized learning videos developed with the course content, access to e-library with hundreds and thousands of journals, case studies, presentations, videos, etc. at their disposal to enhance their learning.

As per European Education Framework, a learner has to achieve 60 European Credit Transfer System (ECTS) in order to get this qualification to be recognized as Masters by any European University and internationally as well. These 60 ECTS are equivalent to 180 UK credits.

UCAM is one of the fastest-growing universities in the European Region and is also one of the most innovative and forward-thinking universities. UCAM is ranked among the top 150 universities in the European Region by the Times Higher Education. Also ranked among the top ten for its Business Administration Program and MBA program in the region, UCAM alumni are currently working with leading companies including Microsoft, EY, PwC, Standard Chartered, PwC, Aramco, Sabic, HSBC, Google, Schlumberger, Air Liquide and Honey Well to name a few. UCAM is internationally recognized, and students can get it attested from the respective Foreign and External Affairs Ministry.

Yes, this will definitely help you in migrating to these countries. Students can get their degree equivalence from ECA (Education Credential Assessment) organizations like WES, ICAS, IQAS.

Each class has about 45 students from different nationalities working with leading companies. The batch of students consists of entrepreneurs, managers, CEOs, supervisors, engineers, consultants, directors and senior executives. Also the students are from diverse sectors like oil & gas, government, media, construction, IT, Telecom, consulting, airline, manufacturing, banking, financial services, retail, pharma, FMCG and healthcare sectors. The current batch has students from Air Liquide, Schulumberg, Air Liquide, Saudi Electricity Company, Amazon, Noon, NMC Healthcare, ADFERT, Etihad, Emirates, Botswana Power Corporation, Allergen, Covance, Julphar and Nutricia to name a few.

Post completion of Part-1, you will be entitled to receive a Postgraduate Extended Diploma in Business Administration (Specialization), which is a Level-7 qualification. This carries 120 UK credits which you may choose to transfer towards your MBA top-up with the same University.

The fee of the program is as published on the website and the scholarship can be provided based on different factors. However, this one-year MBA with Exeed – UCAM is one of the most affordable programs in the UAE region and has a flexible payment plan of monthly installments to pay out the fee in a span of 12 months.

The program fee includes your registration to all courses (Part 1 & 2), certification, career support, course delivery.

You can apply by submitting the following documents: 

  • Application form
  • Most updated resume
  • Scanned copy of your highest qualification certificate
  • Copy of passport
  • Passport size photograph

When it comes to an online study program the first question that comes to a student is whether it is a self-study program, but with Exeed College we are looking at more of a guided level learning program with live interactive sessions being conducted which already covers up the main factor involved in availing a full time MBA title. As per European Education Framework, a learner has to achieve 60 ECTS before he/she can be conferred an MBA by any European University. These 60 ECTS which are considered as a full time MBA title under global standards. Through Cambridge International Qualification (CIQ), Exeed has partnered with different Universities in Europe/UK/USA to assist busy working professionals to realize their dream of earning an MBA under a guided level learning program flexible and well-structured online based level platform.

MOFA stands for Ministry of Foreign Affairs. UAE MOFA attestation is mandatory on every document after UAE embassy attestation for getting a valid visa. UCAM MBA title is verified and recognized under MOFA. MOFA attestation is required for all those universities who do not have a physical campus  in the UAE.

MOHE stands for Ministry of Higher Education. MOHE  approves, accredits and recognizes only those qualifications which are pursued through a physical campus in the country of origin.

However, MOHE attestation is not mandatory for expats residing in the UAE. Therefore, UCAM MBA Degrees are attested and verified by the Ministry of Foreign Affairs.

-Yes, it is quite possible, as we follow the protocols of Recognized Prior Learning Policy (RPL) under which there are two categories:

*RPCL(Recognized Prior Credential Learning): Where the subjects learnt by the student (transcripts required) based on their previous qualifications (Master’s Degree or Level 6 &7 diploma) are mapped with our course modules post which he/she will be eligible for the Module exemptions.

* RPEL (Recognized Prior Experiential Learning):  Where the student documents will be mapped with the prior experiential learning (acquired through work experience), post which he/she will be eligible for some exemptions.

Any university in the world allows maximum exemptions of 1 or 2 modules only as per the policy, exceptional cases would be discussed with the authority concerned, to be taken into the consideration.

NOTE: Course fee and Module Exemptions are two independent factors regardless of the number of modules exempted, the course fee will remain the same. This should be noted by the student prior to raising the module exemption request.

Once the module exemption feedback is received, the Advisor concerned will submit the RPL Letter to the student stating the number of modules exempted along with its credits.

Yes, this will help you in migrating to these countries. Students can get their degree equivalence from ECA (Education Credential Assessment) organizations like WES, ICAS, IQAS, as we hold the World Education Services (WES) accreditation.

Although the sessions are being recorded and archived on the LMS system which can be accessed at any time, the student would be required to achieve at least 70% of attendance, which will be captured during the live interactive platform.

Yes, we do provide services in attaining the attestation of a degree certificate with an additional service fee charge.

Students can get their certificates by attending the Graduation Ceremony at the UCAM University Campus, Spain (charges will be additional) or the Certificate will be directly couriered to the respective addresses provided.

All the courses are internationally accepted, including the UAE, and you will receive MOFA attestation for the same, if you wish. An additional charge will be there for the attestation.

Both Westford University and Exeed College are entities of the Westford Education group. We offer MBA programs through various Universities, but we have one University in common which is UCAM and we give different specializations comparing them.

This program is purely designed for working professionals, we take their time and comfort into consideration. Whatever a student learns in two year is combined into one which in turn saves more time and money.

We have many students from your country who have joined us of which we can assist you in giving references. Plus, we have references of our alumni, who have completed the course and you can talk to them on our website.

It is always better to have an MBA rather than opting for the diploma programs. As a student you will be receiving UK Level 7 Diploma qualification as an added benefit included in the course fee.

6 to 8 months depending on the Deferment reason, if a student exceeds the promised deferment period, the student is bound to pay the registration fees.

PGED is 6 Modules which is 120 UK credits, whereas PG Diploma is 2 modules i.e. 40 UK credits.

Yes, definitely it holds a value as it is an added certificate in your profile. A student will gain instant free membership of 1 year affiliate level.

There will be a further specified timeline given to submit the assignment once the initial deadline is expired. If the student still fails to submit then he/she will get a fine of AED 250.

As the program is purely designed for the working professionals there is no failing system. The student always gets an option of redoing the assignments.