master of applied business analy tics

APPLIED BUSINESS ANALYTICS MASTER OF BUILDING HIGH-DEMAND SKILLS AND NEW CAPABILITIES FOR IR 4.0

1 Master of Applied Business Analytics

DATA AND ANALYTICS FOR IR 4.0 @ HELP

Creating an analytics savvy new generation of managers and leaders. HELP offers a free optional certificate

courses in Data Science and Applied Data Analytics and a guided Bloomberg Market Concepts course.

Learn skills and form global networks in e-Entrepreneurship and e-Commerce via the HELP-Alibaba Business School collaboration.

The Analytics-Driven Analytics-Driven EntrepreneurialEntrepreneurial University

The Premier Digital Tech University status is conferred by MDEC for various initiatives in transforming HELP as the

Analytics-Driven Entrepreneurial University.

HELP University is the only private university in Asia to be awarded the maximum 5 Stars in 9 categories:

HELP houses one of the largest Bloomberg Finance Labs in private universities in Malaysia for students to practise live stock-trading. It is

located in the Business Analytics and Technology Innovation Centre (BATIC) - a RM25 million

extension of Phase 1 Subang 2 campus for techno-entrepreneurship incubation in collaboration with

industry and financial institutions.

• Online Learning• Teaching• Employability• Academic Development• Facilities

• Social Responsibility• Inclusiveness• Internationalization• Business & Management

Studies (MBA).

Master of Applied Business Analytics 2

The HELP Master of Applied Business Analytics (MABA) aligns Data and Analytics (D&A) and business strategy. It synthesises technological capability and rich datasets to enable business leaders to derive strategic intelligence about consumer patterns and market conditions to maximise productivity and profitability. It nurtures analytics-enabled leadership to provide a clear advantage in a data-dominated world.

AIMSThe HELP Master of Applied Business Analytics aims to produce Chief Data Officers and Chief Analytics Officers to help CEOs build the digital organization of the future and achieve business objectives.

Specifically, it enables business professionals to:• Interpret and integrate data from multiple sources for a

better understanding of complex phenomena • Use the right software and algorithms to handle and

interpret data• Know when to apply human judgement in the decision mix• Be able to understand the key business problems of

the enterprise you work for and the megatrends of the environment your firm operates in.

Data and Analytics (D&A) lie at the heart of every organisation’s digital business strategy. D&A leaders can play a key role in creating opportunities for success and radically improve customer experience and reshape industries.

As the leader in business education, HELP University is undergoing rapid transformation into an Analytics-Driven Entrepreneurial University through realignment of academic programmes, application of smart operational systems and re-skilling and up-skilling of human talent across the board.

The new Master of Applied Business Analytics (MABA) programme is the latest course offering that expands the training of skills and talent needed to create the A*Gen (the Analytics Generation) to advance the country into the IR 4.0 era.

It will be supported and complemented by HELP’s existing BIT (Hons) in Data Analytics, Bachelor of Business Analytics (Hons) and the Master of Data Science programmes to develop HELP as a dynamic generator of talent and skills for the digital economy.

OUTCOMES FOR BETTER PERFORMANCE Methods• Knowledge about how to select the most appropriate

analytics approach for your situation• Awareness of how to tackle big data and leverage it for

better business outcomes.

Mindset

• Recognise the breadth of analytics applications

Tools• Ability to use the most advanced software and algorithms,

their appropriate applications across domains, and their limitations.

Skills• Ability to use analytics to lead teams and design and

communicate the insights to support optimal decision making

• Apply best practices for data analytics process management, including establishing workflows, identifying inter-dependencies, and recognising when to utilise human judgement.

MASTER OF APPLIED BUSINESS ANALYTICS KPT/JPS(N/340/7/0768) (MQA/PA13721) 07/25

ELM Business School at Damansara HeightsThe Business Analytics and Technology Innovation Centre (BATIC), Subang 2


VALUE AND STAGES OF BUSINESS ANALYTICSSupporting decisions with Analysis and Data at different stages and the value chain of analytics.

COMPLEXITY

VALUE

PREDICTIVEANALYTICS WHAT WILL HAPPEN?• Predictive Modelling• Pattern Matching• Exploratory Alaytics• Regression Analysis• Simulation• Forecasting

DIAGNOSTICANALYTICS WHY AND HOW IT HAPPENED?• Network & Cluster Analysis• Pattern Recognition• Alert System• Sentiment Analysis

PRESCRIPTIVEANALYTICS HOW TO DETERMINE THAT IT WILL HAPPEN?• Bayesian Networks• System Dynamics• Optimization• Complex-event Processing• Graph Analytics• Heuristic / Rules Engines• Operational Research

DESCRIPTIVEANALYTICS WHAT HAPPENED?• Scorecard• Summary Statistics• Data/Text Mining• Visualization• OLAP

A NEW TYPE OF MANAGER FOR IR 4.0

Understand the business problems faced in the C-suite by CEOs, CFOs, CDOs etc.

Look for information to leverage

on it as a strategic

asset.

Design datasets and proceed through the

different stages of analytics

using a wide range of models

and instruments.

Propose decisions and provide innovative business solutions.

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PROGRAMME OVERVIEW

SUPPLY CHAIN• Blockchain• Supply Chain Analysis• Efficiency Analytics

ECONOMICS• Scenario Forecasting Analysis• Business Cycles Analytics • Inflation & Monetary Policy Analytics

FINANCE• Portfolio Allocation Analysis• Asset Return Forecasting• Risk Analytics

MARKETING• Customer Segmentation• Behavioural Modelling• Predictive Modelling

BIZ OPERATIONS• Inventory Optimization• Sales Forecasting• Business Analytics

PEOPLE ANALYTICS• Social Media Analytics• Workforce Analytics• Performance Tracking

BUSINESSANALYTICS & DECISIONMAKING

APPLIEDSTATISTICS

APPLICATION OF ANALYTICS: CONTRIBUTION OF THE MABA GRADUATE

MABA SUBJECTS• Applied Statistics• Analytics in Finance and Economics• People and Talent Analytics• Business Operations and Supply Chain• Marketing Analytics and Predictive Behaviour• Strategic Management Analytics• Business Research Methods• Project Paper (capstone)

ELECTIVE (Choose one)• Business Analytics for Decision Making• Digital Entrepreneurship

DURATION 18 months (modular)

COMMENCEMENTRegistration is now open for the November 2020 intake.

Candidates will refine data analytics techniques learnt from previous modules and apply them to a real-life data and analytics related problem. They will build a predictive model, provide practical solutions and

communicate the findings effectively. The Capstone Project is the cornerstone of the MABA programme

and will help significantly to enhance your career.

CAPSTONE PROJECT PAPER

Contemporary blended learning, comprising classrooms and labs

with software and datasets, fully developed case studies and video

tutorials.

Presentations and videos that display students’ ability to provide solutions to simulated business problems and

communicate them effectively.

Business Analysts Consultants in Business Solutions

People and Talent Analysts Operational Research Analysts

CEOs or COOs driving businesses using data-based solutions.

FLEXIBLE DELIVERY

CAREER ADVANCEMENTMULTI

ASSESSMENT METHODS


ADMISSION PATHWAYS

One of the following:• A Bachelor’s degree with a CGPA of 2.50

• A Bachelor’s degree with a CGPA below 2.50, subject to a rigorous internal assessment

• A Bachelor’s degree with a CGPA below 2.50 with at least 5 years’ working experience in a relevant field.

FLEXIBLE ADMISSION WITH MICROCREDENTIALS

ACCREDITATION OF PRIOR EXPERIENTIAL LEARNING (APEL)

REGULAR ADMISSION Pre-requisites• Candidates without a statistics

or mathematics background are required to do an Applied Business Statistics module prior to admission

• International candidates are required to have a minimum IELTS score of 6.0 or its equivalent.

Pre-requisites• Candidates without a statistics

or mathematics background are required to do an Applied Business Statistics module prior to admission


Pre-requisites• Candidates without a statistics or

mathematics background are required to do an Applied Business Statistics module prior to admission


PATHWAY

PATHWAY

PATHWAY

For more information please log on to: https://t2m.io/MQA1

Under the APEL scheme of the Malaysian Qualifications Agency (MQA), candidates without a Bachelor's degree but who possess a recognised Diploma or STPM and have prior working experience in this field may be admitted.

• Minimum age: 30 years

• For Malaysian candidates only - subject to APEL assessment.

Candidates without a formal qualification may be admitted if they have attended relevant courses from HELP University or other institutions of higher learning.

• Credit exemption of 30% to 100% may be given.


DISTINGUISHED FACULTY

HELP UNIVERSITY ACADEMIC AND INDUSTRY ADVISORY PANEL

DR SIEN VEN YUDean, Faculty of Computing and Digital Technology, HELP University

MS NG SHU MINHead, School of Information Technology, HELP UniversitySAS Certified Data Scientist

MS MAH KAM LINGroup Data Scientist, Maybank

IR DR KARL NG KAH HOU Director, Data Economy Division, MDEC

MR CHRIS CHANCEO, The Media Shoppe BhdPikom Councillor

DATIN DR WENDY LIOWDean, ELM Graduate SchoolBScBA cum laude (Louisiana), MBA (Hull), DBA (UniSA)

DR PAOLO CASADIOAssociate ProfessorBA cum laude (Stat Sc & Econ) (Rome), MA (Econ & Econometrics) (Southampton), PhD (Rome, La Sapienza)

Modules: Analytics in Finance and Economics; Strategic Management Analytics

DR CHUNG TIN FAH Associate ProfessorBEcon (Malaya), MA (Yale), PhD (UPM)

Modules: Applied Statistics; Business Research Methods (Quantitative)

DR EDMUND J V OHAssociate ProfessorBAppSc (USM), MSc (IHE Delft), MPhil (Cantab), PhD (Cornell)

Module: Business Research Methods (Qualitative)

DR BERNARD LEW SHIAN LOONGAssociate ProfessorBSc (Econ) (London), MFinEcon, PhD (UPM)

Modules: Business Analytics for Decision Making; Digital Entrepreneurship

DEREK POON HIN FEISenior LecturerBE (Malaya), MBA (Henley)

Module: Business Operations and Supply Chain

DR JIWON LEEAssociate ProfessorBS, MS, PhD (Kyung Hee)

Module: Marketing Analytics and Predictive Behaviour

DR ROY SHANKERSenior LecturerBEng (Hons) (Salford), MBA (Henley), DBA (CSU), CEng, FIMechE (UK)

Module: People and Talent Analytics

DR MARK CHIADirector, Data, Astro Malaysia


elm.help.edu.my 603- 2716 2000 [email protected]

HELP UNIVERSITY ELM GRADUATE SCHOOLRegistration No. : 198201005211 (84963-D)

No. 15, Jalan Sri Semantan 1Off Jalan Semantan, Bukit Damansara50490 Kuala Lumpur, Malaysia

master of applied business analy tics

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