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Slides MSc Business Analytics and Operations Research April 7 2016

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Business Analytics and Operations Research Information MSc BAOR
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Page 1: Slides MSc Business Analytics and Operations Research April 7 2016

Business Analytics andOperations Research Information MSc BAOR

Page 2: Slides MSc Business Analytics and Operations Research April 7 2016

Smarter decisions with math and data

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Examples of applications …

“Improving society by math and data”

Page 3: Slides MSc Business Analytics and Operations Research April 7 2016

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Goals

• Knowledge of theory and methods to solve complex business problems:

• methods for analysing big data, and/or making predictions (predictive analytics)

• optimization methods (prescriptive analytics)

• The “hard” skills needed in practice:

• translating the problem into a mathematical model • choosing the right method to solve• being able to use or develop relevant computer software

• The “soft” skills that are crucial for the successful implementation of business projects

Page 4: Slides MSc Business Analytics and Operations Research April 7 2016

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BAOR program

Page 5: Slides MSc Business Analytics and Operations Research April 7 2016

Master program (1 year)

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ECTS

Core courses (cluster A) 30

Elective 1 + 2 (cluster B) 12

Master Thesis 18

total 60

Page 6: Slides MSc Business Analytics and Operations Research April 7 2016

Schedule

• Two entry moments: September and February

• Entry in September:• Fall semester: 5 courses• Spring semester: 2 courses + Master thesis

• Entry in February:• Spring semester: 5 courses• Fall semester: 2 courses + Master thesis

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Page 7: Slides MSc Business Analytics and Operations Research April 7 2016

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Cluster A courses (30 ECTS)

• Data Science Methods

• Simulation

• Optimization

• Supply Chain Analytics

• Decision Making with Business Analytics

• Professional Business Analytics Skills

Page 8: Slides MSc Business Analytics and Operations Research April 7 2016

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BAOR program

Page 9: Slides MSc Business Analytics and Operations Research April 7 2016

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Data Science Methods

Goals:

• Acquire knowledge of theory, methods and techniques, to analyze big data sets.

• Acquire the skills necessary to implement these in practical cases (incl. software).  Contents:

• Supervised vs. unsupervised learning• Loading + cleaning data • Visualizing data + dimension reduction • Classification (discriminant analysis, nearest neighbor, logistic regression• Resampling methods (cross-validation, bootstrap) • Model selection (forward selection, lasso, shrinkage, principal components)• Tree-based classification (regression trees, bagging, boosting) • Support Vector Machines (support vector classifiers) • Applications

Page 10: Slides MSc Business Analytics and Operations Research April 7 2016

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Professional Business Analytics Skills

Goals:

• Acquire those softer skills that are essential for an analytics professional 

Contents:

• How to ‘sell’ business analytics?• Project & team setup• Data preparation, cleansing & visualization• Modeling the essence• Validation• Change management• Presenting for high impact• …• Business analytics is a process; not a single analysis

Page 11: Slides MSc Business Analytics and Operations Research April 7 2016

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Decision Making with Business Analytics

• To get a holistic view on Business Analytics (BA).

• To get insight in why and how BA plays such an important role nowadays.

• To get an overview of advanced BA models and methods.

• To learn advanced BA models/methods that are not covered in the other BAOR courses.

• To be able to decide which model / method to use when.

• To learn state-of-the art BAOR software.

• To get insight for which application areas BA can be used.

Page 12: Slides MSc Business Analytics and Operations Research April 7 2016

Cluster B courses (12 ECTS)

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• The remaining core course

• Finance Analytics : • Asset Liability Management

• Marketing Analytics:• Customer Analytics • Market assessment

• Econometrics and Mathematical Economics:

• Core courses of the MSc EME

• Business Analytics:• Business Analytics & Emerging

Trends

• LNMB courses (only MSc and not PhD level):

• Scheduling• Advanced Linear Programming• Queueing Theory• Discrete Optimization

Page 13: Slides MSc Business Analytics and Operations Research April 7 2016

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BAOR program

Page 14: Slides MSc Business Analytics and Operations Research April 7 2016

BAOR Mastermind

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• 6 sessions per year

• Contents:• presentations by companies• tips/tricks on successful BAOR in practice• important developments in the BAOR field, e.g.

• business analytics• Big Data / Data Science

• possibility to get advice…

• On a voluntary basis!

• Interested 3rd-years BSc students are also welcome!

Page 15: Slides MSc Business Analytics and Operations Research April 7 2016

Examples of Master Thesis topics

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“Improving society by math and data”

Page 16: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal cancer treatment

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Frank Steenbergen

ObjectiveFind optimal radiation plan such that

- tumor is targeted - healthy organs are spared

TechniquesNonlinear and robust optimization

Page 17: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal food supply for hungry people

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Koen Peters

ObjectiveFind optimal food supply plan such that

- daily meals satisfy nutritional requirements - total logistics costs are minimized

TechniquesMixed integer linear optimization

Page 18: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal flood protection

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Chris Pustjens

ObjectiveFind optimal set of flood protection measures such that

- safety norms are satisfied- total costs are minimized

TechniquesInteger optimization, shortest path, predictive analytics

Page 19: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal shift planning of Air Traffic Controllers

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Dori van Hulst

ObjectiveFind optimal shift planning such that - all types of restrictions are satisfied

- total costs of under- and overcapacity are minimized

TechniquesMixed integer optimization, robust optimization

Page 20: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal manpower planning

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Eline Slijkhuis

ObjectiveFind optimal manpower planning such that

- all types of restrictions are satisfied- total contract costs are minimized

TechniquesMixed integer optimization, predictive analytics

Page 21: Slides MSc Business Analytics and Operations Research April 7 2016

Big data for network optimization

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Ioannis Zempekakis

ObjectiveHow to use Big Data in facility location optimization?

TechniquesPredictive analytics, Big Data techniques

Mixed Integer Optimization

Page 22: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal refinery planning

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Harmen Boersma

ObjectiveFind production plan such that

- all types of restrictions are satisfied- profit is maximized

TechniquesNonconvex optimization

Page 23: Slides MSc Business Analytics and Operations Research April 7 2016

Optimal energy planning in Smart Grids

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Robin Swinkels

ObjectiveFind optimal production/storage plan such that

- demand of heat/gas can be satisfied- total costs are minimized

TechniquesLinear optimization, robust optimization, predictive analytics

Page 24: Slides MSc Business Analytics and Operations Research April 7 2016

Job opportunities

A lot of opportunities:

• Consultant at a BAOR center or department of a large firm

• Management consulting

• Management support (manufacturing, service)

• Application providers (SAP, Quintiq, etc.)• Application builders• Solution builders• Implementers

• Research institutes (TNO, Deltares, …)

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Page 25: Slides MSc Business Analytics and Operations Research April 7 2016

Job opportunities in academia

• PDEng program “Data Science”• 2 years, with salary

• Joint program with TU/e

• In monastery “Marienburg”, Den Bosch

• Getting a PhD

• 2nd year of Research Master program

• 3 years PhD25

Page 26: Slides MSc Business Analytics and Operations Research April 7 2016

Many career opportunities

BA/OR consultants

BA/OR departments

BA/OR software

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Page 27: Slides MSc Business Analytics and Operations Research April 7 2016

Job descriptions

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Some job descriptions of recent graduates:

Supply Chain Consultant OM PartnersImplementation Consultant ORTECLife Cycle Management Analyst Philips HealthcareOptimization Algorithm Expert QuintiqQuantitative AnalystRabobank NederlandQuantitative Researcher RobecoConsultantQuintiqSupply Chain Consultant ORTECRisk Manager CardanoSupply Chain Specialist BavariaConsultantFabory GroupData ScientistGreenhouseOR Specialist Dutch Railways

Page 28: Slides MSc Business Analytics and Operations Research April 7 2016

Future for BAOR is bright …

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Source: IDC

2000

2002

2004

2006

2008

2010

2012

2014

2016

0

20

40

60

80

100

120

140

160B

illio

n U

SD

Hardware & Services

Software

Business Analytics Market Size

Page 29: Slides MSc Business Analytics and Operations Research April 7 2016

Future for BAOR is bright …

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Hardware & Services

Software

Only ⅓ of 4.4 million

global business analyst jobs

are filled in 2015

Page 30: Slides MSc Business Analytics and Operations Research April 7 2016

Why studying BAOR in Tilburg …

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Hardware & Services

Software

• Modern program including Data Science methods

• Quality of teachers:• World class researchers in BAOR• Strong connection to practice

• Extensive company network you can benefit from (BAOR Mastermind)

• Wide variety of applications and job opportunities

• Improving society by math and data

• Many, many job opportunities...!

Page 31: Slides MSc Business Analytics and Operations Research April 7 2016

Transition ORMS ORMS: BAOR

• MSc diploma: Operations Research and Management Science

• Transcript:

“Specialization Business Analytics and Operations Research”

Register in Studielink for:

Operations Research / Management Science

Page 33: Slides MSc Business Analytics and Operations Research April 7 2016

Student Career Center & TiSEM Career Services

Your career starts now!

We can help you with:Study/Master choices, Career orientation,Career & Application skills

We offer:• Walk-in consultation for CV & letter of application• Workshops (for example Talent management, LinkedIn)• Individual support• Career Mentor Program & Career Portal

More information:tilburguniversity.edu/studentcareercenter

Visit us now: On the Master’s Fair from 19.00h to 21.00h in the Academia Building

Page 34: Slides MSc Business Analytics and Operations Research April 7 2016

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Master’s fairCome to the Master’s fair (in Academia building) and get in contact with career services, students, study advisors and program coordinators!

Master’s fair from 19.00h till 21.00h

Page 35: Slides MSc Business Analytics and Operations Research April 7 2016

For all students:• Enroll via Studielink

Non TiSEM students who want to enroll in a (Pre-)

Master also need to:

• Submit an application for admission

For more information go to:www.tilburguniversity.edu/education/masters-programmes/admissionprocedure/feb/

Admission & Application

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Page 36: Slides MSc Business Analytics and Operations Research April 7 2016

Questions?

e-mail [email protected]

… or visit Dick den Hertog (K5.39)

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