Master of Science in Business Analytics -...

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Master of Science in Business Analytics www.adsm.ac.ae

Transcript of Master of Science in Business Analytics -...

Master of Science in Business Analytics

www.adsm.ac.ae

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Carly Fiorina,Former CEO of HP

The goal is to turn data into information, and

information into insight.

The Abu Dhabi School of Management is officially licensed by the UAE Ministry of Education- Higher Education Affairs to award degrees in higher education. All academic programs at ADSM have been accredited by the Commission for Academic Accreditation.

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Master of Science in Business Analytics

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The Abu Dhabi School of Management’s vision is to be a center of excellence for entrepreneurship, leadership, and management through

the discovery and dissemination of knowledge. The School aims to create an enriching and rewarding environment which promotes

entrepreneurialism, scholarly inquiry, research, and UAE cultural heritage while fostering diversity, understanding, and tolerance.

Through the development of the Master of Science in Business Analytics program, ADSM is supporting and encouraging the UAE’s future

business leaders and professionals in the evolving field of Business Analytics. In this way, the ADSM MSBA program fosters expertise in the

field of Business Analytics and expands the School’s contributions to the development of the UAE knowledge economy.

The Abu Dhabi School of Management

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The Master of Science in Business Analytics (MSBA) program has been developed to educate future business leaders who will

contribute to the socio-economic development of the emirate of Abu Dhabi and the UAE. The program contributes to the seven

areas of ongoing economic policy of the Abu Dhabi Vision 2030, especially to ‘build an open, efficient, effective and globally

integrated business environment’, ‘develop a highly skilled, highly productive workforce’, and ‘drive significant improvement in

the efficiency of the labor market’.

The MSBA has been designed by ADSM, and accredited by the UAE Ministry of Education- Higher Education Affairs for business

leaders and managers in order to develop and inspire greater competitiveness in the increasingly important area of data-driven

business. The program has been constructed to enable business professionals to develop and enhance their data analytics skills

and competencies for solving business issues within their organizations. The ADSM MSBA will develop our students’ specialist

skills in Business Analytics, enabling them to determine the measures of performance for the success of their organizations

using evidence-based data as a strategic asset in the decision-making process.

The MS Business Analytics program the specific goals, of developing:

• Graduates’ abilities to appraise the theories and concepts of Business Analytics.

• Graduates’ competencies to apply the principles of Business Analytics to a business environment.

• Graduates’ knowledge and skills to analyze and transform data to solve business issues.

• Graduate’s ability to significantly contribute to firms in a variety of industrial sectors.

Master of Science in Business Analytics (MS BA)

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Students who complete the program successfully will be able to:

1. Demonstrate a critical awareness of current issues in

Business Analytics.

2. Compile and manage large data sets within organizational

contexts.

3. Integrate, analyze and evaluate new and/or abstract data and

situations, using a wide range of appropriate technologies to

transform such data and concepts into options and solutions.

4. Apply a critical selection of appropriate research instruments

and advanced analytical and problem solving skills to

interrogate large data sets.

5. Appraise the application of business analytics in solving

business issues.

6. Employ independent learning strategies to update own

knowledge in the field of business analytics and keep pace

with innovations, trends, and standards in the discipline.

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Program Learning Outcomes

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Program Structure

The MSBA program represents a focused collection of courses that provide students with specialized knowledge of business analytics. The

MSBA program is structured around four main components: the foundation classes, the core courses, the elective courses, and the Capstone

Report. The program consists of nine core courses, one elective course, and a Capstone Report. The foundation courses do not carry credit

hours, and can be bypassed through evidence of academic background in a relevant area. The Capstone Report is mandatory for graduation

from the program and entails a project that demonstrates the application of skills, knowledge, and competencies to a real world situation

that is relevant to their careers.

Core Courses Code Credit Hours Electives Code Credit Hours

Analytics in Business BUAN 801 03 Data Management and Ethics BUAN 812 03

Data Structures and Algorithms BUAN 802 03 Digital Marketing Analytics BUAN 813 03

Fundamentals of Database Technologies BUAN 803 03 Workforce Analytics BUAN 817 03

Machine Learning BUAN 804 03

Maths and Statistical Foundations for Analytics BUAN 805 03 Total Elective Credits 03

Network Analysis BUAN 806 03

Optimization and Decision Models BUAN 807 03 Capstone Report BUAN 818 03

Statistics and Econometrics BUAN 808 03

Visualization BUAN 809 03

Total Core Credits 27 Total Program Credits 33

Foundation

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The MSBA program will be offered in a traditional face-to-face teaching mode. Students may undertake the program on either a full-time or part-time basis. The delivery of each course is designed to allow students to actively engage with the material and critically reflect on the content. Courses will be delivered over a 11-week term and the academic year will be divided into 4 terms on a quarter basis (typically beginning in October, January, April, and July of each year). The classes will consist of 45 contact hours divided between lectures and tutorial labs.

Mode of Program Delivery

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Potential sequences of study for full time and part time enrolments are as detailed below.

Full-time

Term 1 Term 2 Term 3 Term 4

Analytics in Business Machine Learning Optimization and Decision Models Elective

Data Structures and AlgorithmsMaths and Statistical Foundations

for AnalyticsStatistics and Econometrics Capstone Report

Fundamentals of Database

TechnologiesNetwork Analysis Visualization

Part-time

Term 1 Term 2 Term 3 Term 4 Term 5 Term 6

Data Structures and

AlgorithmsAnalytics in Business

Maths and Statistical

Foundations for Analytics

Optimization and

Decision ModelsVisualization Capstone Report

Fundamentals of Database

TechnologiesMachine Learning Network Analysis

Statistics and

EconometricsElective

Please note that sequences and course-load may differ by starting term and faculty allocations.

Degree Completion Sequence

Students may undertake the program on either a full-time or part-time basis. Students will be able to complete the program in a minimum of 12 months by taking two or three courses in each term.

Study mode Minimum Completion Period Maximum Completion Period

Full-time 12 months 24 months

Part-time 18 months 36 months

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Admission Requirements

To be admitted into the Master of Science Business Analytics (MSBA) program, students are required to have earned a Bachelor’s

Degree in a relevant field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Business, or a

quantitative social science with a minimum of a 3.0 cumulative GPA from an accredited college or university. An English Requirement

must also be fulfilled according to standards set by the Commission for Academic Accreditation. Typically this entails a TOEFL

score of 550 or equivalent.

Applicants must submit a completed and signed application form with the required documents listed below and pay the non-

refundable application fees as described on the ADSM website.

Documents Required

• Completed Graduate Student Application;

• Attested Bachelor’s Degree from an accredited college or university in a relevant discipline such as Mathematics, Statistics,

Computer Science, Engineering, Physics, Economics, Business, or a quantitative social science;

• Official college or university transcript from all institutions of higher education attended, with a minimum cumulative GPA of 3.0;

• A TOEFL score of 550 (CBT 213, iBT 80), or its equivalent in a standardized English test, e.g. 6.0 IELTS or another standardized,

internationally recognized test that is approved by the Commission for Academic Accreditation;

• Copy of valid passport and visa (if applicable) and 5 passport photos;

• Non-refundable application fee.

A limited number of applicants may be granted conditional admission based on the following criteria:

• Achieved a cumulative grade point average of 2.5 – 2.99 on a 4.0 scale, or established equivalent, in a recognized undergraduate

degree in a discipline appropriate for the program for which the applicant is applying; or,

• Achieved a 530 TOEFL (or its equivalent).

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Eligibility for Graduation

In order to be eligible for a MSBA program at ADSM, a student

must:

I. Satisfactorily complete a minimum of 33 credit hours of

coursework for a Master of Science degree program including

all core courses and the Capstone Report.

II. Attain a minimum 3.00 cumulative grade point average on all

credit earned at the School, based on a 4.00 scale;

III. Not possess any missing grades or “Incompletes;”

IV. Fulfill all other requirements of the program as enumerated in

Grading and Assessment Policy and the Academic Progress

Policy;

V. Be in good standing with all ADSM regulatory elements as

spelled out in the School’s policies; and,

VI. Not have any financial obligations or other outstanding

administrative requirements.

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The Abu Dhabi School of Management attempts to ensure the information contained in this brochure is correct at the time of publication (June 2018); however, sections may be amended without notice in response to changing circumstances or for any other reason. Visit the ADSM website or contact the School for any updated information.

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PO Box 6844Abu Dhabi, UAET +971 2 691 7811F +971 2 665 [email protected] www.adsm.ac.ae