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Business analytics

What’s the difference between Business Analytics and Business Intelligence? The correct answer is: everybody has an opinion, but nobody knows, and you shouldn’t care.

Having worked in the industry over twenty years, I can confidently say that everybody has a different notion of what ANY particular term associated with analytics means.

For example, when SAP says business analytics instead of business intelligence , it s intended to indicate that business analytics is an umbrella term including data warehousing, business intelligence, enterprise information management, enterprise performance management, analytic applications, and governance, risk, and compliance.

But other vendors (such as SAS) use business analytics to indicate some level of vertical/horizontal domain knowledge tied with statistical or predictive analytics.

At the end of the day, there are two things worth differentiating:

  1. The first is the business aspect of BI the need to get the most value out of information. This need hasn t really changed in over fifty years (although the increasing complexity of the world economy means it s ever harder to deliver). And the majority of real issues that stop us from getting value out of information (information culture, politics, lack of analytic competence, etc.) haven’t changed in decades either.
  2. The second is the IT aspect of BI what technology is used to help provide the business need. This obviously does change over time sometimes radically.

The problems in nomenclature typically arise because “business intelligence” is commonly used to refer both of these, according to the context, thus confusing the heck out of everyone.

In particular, as the IT infrastructure inevitably changes over time, analysts and vendors (especially new entrants) become uncomfortable with what increasingly strikes them as a dated term, and want to change it for a newer term that they think will differentiate their coverage/products (when I joined the industry, it was called “decision support systems” – which I still think is a better term in many ways).

When people introduce a new term, they inevitably (and deliberately, cynically?) dismiss the old one as just technology driven and backward looking , while the new term is business oriented and actionable .

This is complete rubbish, and I encourage you to boo loudly whenever you hear a pundit say it.

The very first use of what we now mostly call business intelligence was in 1951, as far as I can tell, with the advent of the first commercial computer ever, dubbed LEO for Lyons Electronic Office, powered by over 6,000 vacuum tubes. And it was already about “meeting business needs through actionable information”, in this case deciding the number of cakes and sandwiches to make for the next day, based on the previous demand in J. Lyons Co. tea shops in the UK.

And It most emphatically was not “only IT” or “only looking in the rear-view mirror” as some people pompously try to dismiss “old-style BI”.

At the end of the day, nobody important cares what this stuff is called. If you’re in charge of a project, what matters is working out the best way to leverage the information opportunity in your organization, and putting in place appropriate technology to meet that business need and you can call that process whatever you like: it won t make any difference

If you have strong opinions on the topic, you may want to join in on this thread on the the brand new, business-oriented forum on the SAP Community Network. In the meantime, here’s why I changed the name of this blog from “BI questions” to “Business Analytics” a few months ago:

Google Trends on “business intelligence” – slow decline (note this is relative to overall search volume, not absolute)

Business analytics

Business analytics


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Business Analytics Platforms & Solutions for BI, SAP, business analytics.#Business #analytics


Business Analytics

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  • Profitability and cost management
  • Financial consolidation
  • Enterprise reporting and disclosure

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What is business analytics (BA)? Definition from, business analytics.#Business #analytics


business analytics (BA)

Business analytics

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Business analytics (BA) is the practice of iterative, methodical exploration of an organization’s data, with an emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision-making.

Business analytics

Business analytics

Staff Pick: The Rising Need for Analytics Accuracy

Learn how LinkedIn overcame analytics bottlenecks, 3 data modeling flaws that cripple data science projects, and common roadblocks of advancing data science teams and hiring data pros.

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BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes. Data-driven companies treat their data as a corporate asset and leverage it for a competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business, and an organizational commitment to data-driven decision-making.

Business analytics examples

Business analytics techniques break down into two main areas. The first is basic business intelligence. This involves examining historical data to get a sense of how a business department, team or staff member performed over a particular time. This is a mature practice that most enterprises are fairly accomplished at using.

The second area of business analytics involves deeper statistical analysis. This may mean doing predictive analytics by applying statistical algorithms to historical data to make a prediction about future performance of a product, service or website design change. Or, it could mean using other advanced analytics techniques, like cluster analysis, to group customers based on similarities across several data points. This can be helpful in targeted marketing campaigns, for example.

Specific types of business analytics include:

  • Descriptive analytics, which tracks key performance indicators to understand the present state of a business;
  • Predictive analytics, which analyzes trend data to assess the likelihood of future outcomes; and
  • Prescriptive analytics, which uses past performance to generate recommendations about how to handle similar situations in the future.

While the two components of business analytics — business intelligence and advanced analytics — are sometimes used interchangeably, there are some key differences between these two business analytics techniques:

Business analytics

Business analytics vs. data science

The more advanced areas of business analytics can start to resemble data science, but there is a distinction. Even when advanced statistical algorithms are applied to data sets, it doesn’t necessarily mean data science is involved. There are a host of business analytics tools that can perform these kinds of functions automatically, requiring few of the special skills involved in data science.

True data science involves more custom coding and more open-ended questions. Data scientists generally don’t set out to solve a specific question, as most business analysts do. Rather, they will explore data using advanced statistical methods and allow the features in the data to guide their analysis.

Business analytics applications

Business analytics tools come in several different varieties:

Self-service has become a major trend among business analytics tools. Users now demand software that is easy to use and doesn’t require specialized training. This has led to the rise of simple-to-use tools from companies such as Tableau and Qlik, among others. These tools can be installed on a single computer for small applications or in server environments for enterprise-wide deployments. Once they are up and running, business analysts and others with less specialized training can use them to generate reports, charts and web portals that track specific metrics in data sets.

Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, data cleansing and integration into a single repository, such as a data warehouse or data mart. The analysis is typically performed against a smaller sample set of data.

Analytics tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications. As patterns and relationships in the data are uncovered, new questions are asked, and the analytical process iterates until the business goal is met.

Deployment of predictive models involves scoring data records — typically in a database — and using the scores to optimize real-time decisions within applications and business processes. BA also supports tactical decision-making in response to unforeseen events. And, in many cases, the decision-making is automated to support real-time responses.

Next Steps

Expert Wayne Kernochan provides an overview of the different types of business intelligence analytics tools on the market.


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IBM Analytics – Analytic Solutions for Business, business analytics.#Business #analytics


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Centricity Business Analytics, business analytics.#Business #analytics


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Business Intelligence – Analytics Software, SAS, business analytics.#Business #analytics


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  • Find the metrics that matter most. Spot correlations. Pinpoint exceptions. Forecast trends. Predict outcomes. Quickly. Visually. And gain a competitive advantage without building models.
  • Expand your analytics culture. With approachable analytics that anyone can use and understand, you’ll foster acceptance and encourage adoption.

  • Go way beyond descriptive analytics. What do you get when you combine interactive discovery with self-service analytics? A collaborative environment where everyone can answer why? and what’s next?
    • Business intelligence with brains and brawn. Identify and share insights and performance metrics based on foresight, not hindsight. We’ve combined BI tools with analytics – backed by more than 40 years of expertise – to give you THE POWER TO KNOW ® .
    • A smarter way to run your business. Behind-the-scenes algorithms – to detect what’s significant and relevant – along with brilliant visualizations present data in the best possible way for quick assessment. So you won’t miss important, contextual findings.

  • Easy enough for anyone. You don’t have to be a power user to benefit from analytics. Our drag-and-drop approach lets you change queries quickly, so there are no barriers to experimentation and discovery.
  • Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    Business analytics

    Interactive Reporting Dashboards

    Anyone can do it.

    Yes, it is possible to satisfy both business users (who want to create their own BI content) and IT (who wants to selectively manage and govern it). With SAS, you can:

    • Do it yourself, and set IT free. The self-service, ad hoc reporting environment lets you create distribution-quality reports and analytics dashboards without burdening IT. No more waiting; you’re in control.

  • Keep governance alive. IT can select business-user-generated BI content for production to promote proper governance.
  • Enjoy the freedom of self-service data preparation. Basic capabilities for data access, mashup, filtering and data transformation are built into our BI tools – just right for the business analyst.
    • Closing the gap. A managed, self-service BI approach will close the gap between business and IT – not drive them further apart. You’ll reduce risks and gain the flexibility to act quickly.
    • Equal opportunity, whether executive, analyst or citizen data scientist. Share reports, charts and analytic content via the web, PDF files or mobile devices. Improve business knowledge and productivity. And make informed decisions.

  • Consumer-grade interactivity. Enable business-user-led report authoring and reshaping using only items of interest. Easily embed reports and charts with other content sources, applications or portals while retaining full interactivity.
  • Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.


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    Business Analytics – a-b – Vrije Universiteit Amsterdam #harvard #business #press


    #business analytics

    #

    Business Analytics

    Find expert solutions to today s complex business problems

    The Master’s in Business Analytics (BA) is a multidisciplinary programme, aimed at improving business processes by applying a combination of methods based on mathematics, computer science and business management. You will be trained in recognizing and solving in-company problems. BA is a hands-on programme: you will use your expertise in the various fields to improve business practices by examining and analysing real-world situations as faced by companies daily.

    Construct, implement and assess solution approaches
    Theories from Business Analytics are typically applied to areas such as supply chain planning, data mining, call centre management, revenue management and risk management. The Master’s programme will deepen your knowledge in these areas and give you the opportunity to specialize in business process optimization, computational intelligence and financial risk management. Combining the knowledge you acquire and applying it to practical situations plays an essential role in the programme. The Master’s degree is concluded with a six-month individual internship at a
    company (the Master’s project).

  • Aanmelden voor: 1 June for Dutch students. 1 April for EU/EEA and non-EU/EEA students.* * EU/EEA students with an international degree who do not need housing services through Vrije Universiteit Amsterdam University Amsterdam can still apply until 1 June.
    • Startdatum: 1 September
      1 February
    • Vorm: Duaal, Voltijd
    • Interessegebied: Informatica, Wiskunde en Bedrijf
    • Specialisaties: Business process optimization / Computational intelligence / Financial risk management

    Master of Science in Business Analytics #business #plans #samples


    #business analytics

    #

    Master of Science in Business Analytics

    Big data is big business. Earn the degree that puts you in high demand.

    The 15-month Master of Science in Business Analytics is designed for students who want to pursue or advance their career in the growing field of business analytics. Background knowledge or experience in business analytics is not required.

    The Master of Science in Business Analytics is offered through Mercer’s Atlanta campus in a flexible hybrid format that offers convenience for busy working professionals:

    • 15-monthprogram beginning in January
    • Cohort model that fosters collaboration and networking
    • Hybrid format combines Saturday classes with online meetings

    Stetson School of Business and Economics also offers a Certificate Program in Data Analytics.

    The Master of Science in Business Analytics curriculum focuses on developing an understanding of the performance of an organization through data and statistical methods. Students learn to become effective analysts and informed users of big data through examination of several key topics:

    • Statistical modeling
    • Data management
    • Visualization
    • Information security
    • Optimization
    • Online analytical processing (OLAP)
    • Fact-based management to drive decision-making

    Students enrolled in the Master of Science in Business Analytics program understand the need to interpret and analyze big data to inform effective decision-making. Students are experienced in their industry and are seeking an advanced degree in a highly sought-after skill set. A structured curriculum and Saturday class schedule are attractive for the busy leader who has a varied week-day schedule. The average age is 38 years old with 16 years of work experience.

    Students come from diverse backgrounds, including:

    • Financial services
    • Marketing
    • Communications
    • Healthcare
    • Manufacturing
    • Non-profit
    • Education
    • Information Technology

    Individuals who successfully complete Mercer’s Master of Science in Business Analytics degree program can go on to work as business professionals in positions including: credit analyst, data scientist, quantitative marketing analyst, web analyst, social media strategist, risk manager, data warehouse analyst, healthcare data analyst or pricing strategy analyst.

    Applicants for the Master of Science in Business Analytics program must hold a bachelor’s degree with a qualifying grade point average from a regionally accredited institution; a major in business is not required.

    Application Checklist
    Submit all of the following items to complete your application to the program:

    • Stetson School of Business and Economics Application for Admission
      Begin application now
    • $50 Non-refundable Application Fee ($100 for international applicants)
      Submit the required application fee in the form of a check or money order made payable to Mercer University .
    • Official GMAT or GRE Test Score
      Applicants must take the Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE) and achieve a qualifying score. Applicants holding a graduate degree from a regionally accredited college or university or an equivalent international graduate degree may waive the GMAT requirement. Unofficial copies of the score report may be included with the application for initial review and evaluation, but an official score report will be required for applicants who are offered admission.
    • Transcripts from All Previously Attended Institutions
      Submit an official transcript from each college or university previously attended. Former Mercer University students are not required to request a Mercer University transcript.
      Transcript Request Form
    • Current Résumé

    Submit all application supporting materials to:
    Mercer University
    Stetson School of Business and Economics
    Office of Admissions
    3001 Mercer University Drive
    Atlanta, GA 30341

    Admission decisions cannot be made until all application materials have been received. International students have additional requirements.

    Priority Application Deadlines*
    Round 1
    – Apply by August 15; Decision by October 1
    Round 2 – Apply by October 1; Decision by November 15
    Round 3 – Apply by November 15; Decision by December 15
    *Students will be admitted on a rolling basis prior to the start of the fall semester.

    Classes begin each January.

    Additional Program Costs and Benefits

    • All students are charged a technology fee.
    • Campus parking is free.
    • Students enrolled in an online program enjoy full access to campus facilities, including computer labs, library, fitness center and indoor Olympic pool.

    Financial Planning
    Students enrolling in the M.S. in Business Analytics can take advantage of federal and/or private loan programs to assist with covering the costs of tuition. Mercer University’s Office of Student Financial Planning is equipped to provide up-to-date information on financial assistance available to graduate students via federal loan programs.

    MBA.com . the official website of the GMAT, offers additional resources related to financing your degree.

    Non-U.S. citizens or students who graduated from a non-U.S. university must also complete the following requirements to be evaluated for admission:

    • Evaluation of Foreign Credentials
      Applicants who completed all or part of their education abroad are required to have their foreign educational credentials evaluated by an independent evaluation service. A Course-by-Course and Grade Point Average Equivalent Evaluation is required for admission. You must submit an official sealed copy of your evaluation with your application materials.

    Exception. A TOEFL score is not required of international applicants who have attended another U.S. institution and completed freshman English Composition I and II with a grade of C or higher.


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    Business Intelligence – Analytics Software #registering #a #business


    #business intelligence

    #

    Business Intelligence Analytics

    Explore all your data. Discover new patterns. Create rich visuals and share insights. With easy-to-use analytics and business intelligence tools from SAS, you can:

    • Get the picture. Fast. Get blazingly fast insights by visually exploring all relevant data. Spot unknown patterns. Identify key relationships. And unearth hidden opportunities.
    • See it. Understand it. Compelling visuals help you quickly grasp what the data has to tell you. Interactive visualizations backed by analytics are explained in terms everyone can understand.
    • Stop guessing. Work smartly. Streamline data preparation. The software automatically highlights relevant findings and significant discoveries for you – no coding required.
    • It’s easy. No matter your skill level, you can ask tough questions. Easily explore, create and share. Follow your instincts. No need to engage IT.
    • Fast insights from any data. Whether it’s in Hadoop, your data warehouse or Microsoft Office spreadsheets, you can discover data from any source in a well-governed way – without preconceptions.
    • Pictures with impact. Our visualizations and dashboards are powered by SAS Analytics. Automatically. No coding required.

    Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    Put the world’s most powerful analytics in everyone’s hands, and your organization will reap the rewards. With SAS, you can:

    • Find the metrics that matter most. Identify outliers. Spot correlations. Pinpoint exceptions. Forecast trends. Predict outcomes. Quickly. Visually. And gain a competitive advantage without building models.
    • Expand your analytics culture. With approachable analytics that anyone can use and understand, you’ll foster acceptance and encourage adoption.
    • Go way beyond descriptive analytics. What do you get when you combine interactive reporting with self-service analytics? A collaborative environment where everyone can answer why? and what’s next?
    • Business intelligence with brains and brawn. Identify and share insights and performance metrics based on foresight, not hindsight. We’ve combined BI tools with analytics – backed by nearly 40 years of expertise – to give you THE POWER TO KNOW ® .
    • A smarter way to run your business. Behind-the-scenes algorithms – to detect what’s significant and relevant – along with brilliant visualizations present data in the best possible way for quick assessment. So you won’t miss important, contextual findings.
    • Easy enough for anyone. You don’t have to be a rocket scientist – or a data scientist – to use analytics. Our drag-and-drop approach lets you change queries quickly, so there are no barriers to experimentation and discovery.

    Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    Is it possible to satisfy business users (who want to create their own BI content) and IT (who wants to selectively manage and govern it)? Yes. With SAS, you can:

    • Do it yourself, and set IT free. The self-service, ad hoc reporting environment lets you create distribution-quality reports and analytics dashboards without burdening IT. No more waiting; you’re in control.
    • Keep governance alive. IT and BICC staff can select business-user-generated BI content for production to promote proper governance.
    • Enjoy the freedom of self-service data preparation. Basic capabilities for data access, mashup, filtering and data transformation are built into our BI tools – just right for the business analyst.
    • Closing the gap. A managed, self-service BI approach will close the gap between business and IT – not drive them further apart. You’ll reduce risks and gain the flexibility to act quickly.
    • Equal opportunity, whether executive, analyst or citizen data scientist. Share reports, charts and analytic content via the web, PDF files or mobile devices. Improve business knowledge and productivity. And make informed decisions.
    • Consumer-grade interactivity. Enable business-user-led report authoring and reshaping using only items of interest. Easily embed reports and charts with other content sources, applications or portals while retaining full interactivity.

    Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    The world is built on teamwork. So why not put business intelligence and analytics where they can add more value? With SAS, you can:

    • Put analytics and BI tools where people work most. Only SAS drives faster adoption by surfacing results and key insights in Microsoft Office applications, including Outlook and Excel.
    • Exchange ideas and insights. Business users can easily create storyboards or narratives and have meaningful conversations about results.
    • Foster alignment for better business decisions. Spread the word with visual insights, and expand the reach of information. Interactive commenting and annotations promote consensus building.
    • Easy to use and collaborate. Promote idea sharing while saving valuable time. You can annotate reports or charts, then send to others, who can add their thoughts as well. Or capture comments via video and audio.
    • Everyday email becomes everyday BI. Deliver consistent analytic insights and BI to your users via email, without filling up inboxes. And there’s no need to open other applications to view reports.
    • Consistent, up-to-date information. Updated reports, analytic content and dashboards are managed with centralized logins and permissions. Everything stays in sync, everyone stays on the same page. And that makes everybody happy.

    Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    It’s here. It’s there. It’s everywhere. Get powerful insights and facts wherever and whenever they’re needed. With our BI tools, you can:

    • Stay in sync with fully native apps. Quickly and easily monitor and understand business performance. Native gestures and controls let you view and interact with dashboards, reports and charts – anywhere, anytime.
    • Explore to your heart’s content. Incorporate BI and analytics into a workflow or other app on mobile devices. Share insights with stakeholders to encourage wider discussions and greater collaboration.
    • Take it with you everywhere. The need to answer questions and make decisions doesn’t stop just because you’re not at your desk. Business users can can see and interact with key insights 24/7 – on their tablets or smartphones.
    • On-the-go access to current, relevant information. Having critical information at your fingertips means faster decision cycles and uninterrupted workflows. No delays.
    • Greater productivity and efficiency. Deliver static or interactive BI tools and analytic content – whatever the user needs – and meet a well-defined range of business demands.
    • The power of BI – magnified. Secure, feature-rich mobile apps give stakeholders the best user experience and flexibility possible.

    Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.


    Tags : , , , ,

    Master of Science in Business Analytics #business #articles


    #business analytics

    #

    Master of Science in Business Analytics

    Big data is big business. Earn the degree that puts you in high demand.

    The 15-month Master of Science in Business Analytics is designed for students who want to pursue or advance their career in the growing field of business analytics. Background knowledge or experience in business analytics is not required.

    The Master of Science in Business Analytics is offered through Mercer’s Atlanta campus in a flexible hybrid format that offers convenience for busy working professionals:

    • 15-monthprogram beginning in January
    • Cohort model that fosters collaboration and networking
    • Hybrid format combines Saturday classes with online meetings

    Stetson School of Business and Economics also offers a Certificate Program in Data Analytics.

    The Master of Science in Business Analytics curriculum focuses on developing an understanding of the performance of an organization through data and statistical methods. Students learn to become effective analysts and informed users of big data through examination of several key topics:

    • Statistical modeling
    • Data management
    • Visualization
    • Information security
    • Optimization
    • Online analytical processing (OLAP)
    • Fact-based management to drive decision-making

    Students enrolled in the Master of Science in Business Analytics program understand the need to interpret and analyze big data to inform effective decision-making. Students are experienced in their industry and are seeking an advanced degree in a highly sought-after skill set. A structured curriculum and Saturday class schedule are attractive for the busy leader who has a varied week-day schedule. The average age is 38 years old with 16 years of work experience.

    Students come from diverse backgrounds, including:

    • Financial services
    • Marketing
    • Communications
    • Healthcare
    • Manufacturing
    • Non-profit
    • Education
    • Information Technology

    Individuals who successfully complete Mercer’s Master of Science in Business Analytics degree program can go on to work as business professionals in positions including: credit analyst, data scientist, quantitative marketing analyst, web analyst, social media strategist, risk manager, data warehouse analyst, healthcare data analyst or pricing strategy analyst.

    Applicants for the Master of Science in Business Analytics program must hold a bachelor’s degree with a qualifying grade point average from a regionally accredited institution; a major in business is not required.

    Application Checklist
    Submit all of the following items to complete your application to the program:

    • Stetson School of Business and Economics Application for Admission
      Begin application now
    • $50 Non-refundable Application Fee ($100 for international applicants)
      Submit the required application fee in the form of a check or money order made payable to Mercer University .
    • Official GMAT or GRE Test Score
      Applicants must take the Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE) and achieve a qualifying score. Applicants holding a graduate degree from a regionally accredited college or university or an equivalent international graduate degree may waive the GMAT requirement. Unofficial copies of the score report may be included with the application for initial review and evaluation, but an official score report will be required for applicants who are offered admission.
    • Transcripts from All Previously Attended Institutions
      Submit an official transcript from each college or university previously attended. Former Mercer University students are not required to request a Mercer University transcript.
      Transcript Request Form
    • Current Résumé

    Submit all application supporting materials to:
    Mercer University
    Stetson School of Business and Economics
    Office of Admissions
    3001 Mercer University Drive
    Atlanta, GA 30341

    Admission decisions cannot be made until all application materials have been received. International students have additional requirements.

    Priority Application Deadlines*
    Round 1
    – Apply by August 15; Decision by October 1
    Round 2 – Apply by October 1; Decision by November 15
    Round 3 – Apply by November 15; Decision by December 15
    *Students will be admitted on a rolling basis prior to the start of the fall semester.

    Classes begin each January.

    Additional Program Costs and Benefits

    • All students are charged a technology fee.
    • Campus parking is free.
    • Students enrolled in an online program enjoy full access to campus facilities, including computer labs, library, fitness center and indoor Olympic pool.

    Financial Planning
    Students enrolling in the M.S. in Business Analytics can take advantage of federal and/or private loan programs to assist with covering the costs of tuition. Mercer University’s Office of Student Financial Planning is equipped to provide up-to-date information on financial assistance available to graduate students via federal loan programs.

    MBA.com . the official website of the GMAT, offers additional resources related to financing your degree.

    Non-U.S. citizens or students who graduated from a non-U.S. university must also complete the following requirements to be evaluated for admission:

    • Evaluation of Foreign Credentials
      Applicants who completed all or part of their education abroad are required to have their foreign educational credentials evaluated by an independent evaluation service. A Course-by-Course and Grade Point Average Equivalent Evaluation is required for admission. You must submit an official sealed copy of your evaluation with your application materials.

    Exception. A TOEFL score is not required of international applicants who have attended another U.S. institution and completed freshman English Composition I and II with a grade of C or higher.


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