For admissions to masters degree program in Business Analytics , Data Analytics at Best Universities, GMAT, GPA requirements are
Online Masters in Business Analytics , Data Analytics No GRE
Masters programs in Business Analytics , Data Analytics which do not require GMAT
Harvard UniversityRanked 2 in Best National University.
Harvard Business Analytics Program
College description: Advance their Career with the Harvard Business Analytics Program.Designed for aspiring and established leaders in any industry, the program leverages a rigorous cross-disciplinary curriculum to help students not just analyze data but understand it, translate it, and incorporate it into strategy at the top levels of their organizations. Students emerge from the program poised to advance into analytics-focused leadership roles and drive disruptive innovation through data.Sharpen their core data analysis and management skills .Explore emerging technologies and practices in next-generation analytics, such as blockchain, digital strategy, and AI ML and.Learn interpret their findings and use them to uncover valuable business insights.The Harvard Business Analytics Program consists of six core courses, two seminars, and two in-person immersions.The broad digitization of the global economy is resulting in enormous stores of varied data being generated and collected. Competitive advantage in the 21st century is accruing to companies that are able to make data-driven analytics and decision-making a core part of their growth strategy, their business development endeavors, and all aspects of their operations.Modern business analytics requires executives and managers to be conversant with programming and data architecture. The aim of this course is to provide participants with the fundamental knowledge and practice needed to appreciate the challenges and opportunities related to developing robust and scalable systems that are at the core of business analytics by emphasizing mastery of high-level concepts and design decisions.An emphasis on data analytics and algorithms at the center of an enterprise also means that leaders will have to drive both innovation and large-scale organizational change.Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader chain and ecosystem.Applicant must complete Foundations of Quantitative Analysis before applicant take this course.This course is an introduction to using statistical approaches to solve business problems.
Have taken the Test of English as a Foreign Language or International English Language Testing SystemInternational applicants are also expected to hold a bachelor’s degree or equivalent and must provide copies of transcripts and a diploma for an admissions decision.Transcripts from all degree-granting institutions applicant have attended
Yale UniversityRanked 3 in Best National University.
Statistics and Data Science Yale University
College description: To qualify for the M.A. degree, the student must successfully complete eight term courses with an average grade of HP or higher, chosen in consultation with the Director of Graduate Studies at the start of each semester.All students must gain some experience at working with real data, at least at the level of Stat 530, but preferably at the level of Stat 661 or higher.In the past, some M.A. graduates have applied for Special student status in order to take additional graduate courses at Yale. Students petition for this status during the 2nd semester of their M.A. program and are required to complete the degree and graduate on time before beginning their study with Special student status. Visa requirements may require full-time study
Scores from the GRE General Test are required. For those whose native language is not English, the Test of English as a Foreign Language scores are required. This requirement is waived only for applicants who, prior to matriculation at Yale, will have received a baccalaureate degree or its international equivalent with three years of residency from a college or university where English is the primary language of instruction.Special Requirements for the Ph.D. Degree in Statistics and Data Science.M.A. This degree may be awarded upon completion of eight term courses in Statistics with an average grade of HP or higher, and two terms of residence.This degree is awarded upon completion of eight term courses in Statistics chosen in consultation with the DGSs, with all grades HP or higher.Terminal Master’s Degree Program in Statistics Students are also admitted directly to a terminal master’s degree program in Statistics. Applicants must submit scores from the GRE General Test. Part-time students are also accepted into the master’s degree program. See Degree Requirements: Terminal M.A. M.S. Degrees, under Policies and Regulations.Note:S DS 501–506 offer a basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression.Using the R language, topics include exploratory data analysis, probability, hypothesis testing, confidence intervals, regression, statistical modeling, and simulation.Survey of statistical methods: plots, transformations, regression, analysis of variance, clustering, principal components, contingency tables, and time series analysis.Introduction to regression and linear models.Principles of statistical analysis: maximum likelihood, sampling distributions, estimation, confidence intervals, tests of significance, regression, analysis of variance, and the method of least squares.The analysis of data using regression, classification, clustering, principal component analysis, independent component analysis, dictionary learning, topic modeling, dimension reduction, and network analysis.Prerequisites: knowledge of basic inferential procedures, experience with linear modelsThroughout, the instructor uses several types of real-world data and shows perform all examples in R and Python. Prerequisites: ECON 117, ECON 135, MATH 120, MATH 222, MATH 225, MATH 241, S DS 538, S DS 610, S DS 612, or permission of the instructor the ability to work directly with data and familiarity with probability, statistical inference, regression, and model specification.The geometry of least squares distribution theory for normal errors regression, analysis of variance, and designed experiments numerical algorithms alternatives to least squares.
MS in Customer Analytics
College description: MSCA students work on real-world data analysis projects.Prepare yourself to be front and center in the emerging era of big data and data-driven decision making.The amount of digital information available to every type of business is vast and increasing rapidly. The Master of Science in Business Analytics program positions applicant to excel as big data moves to the forefront of the boardroom.Complete the rigorous 39 credit hour graduate analytics program in three semesters • applicant’ll take 18 common credits to build their analytic knowledge base before diving into industry and functional application. Choose the track that best fits applicant: Accounting Analytics, Customer Analytics, Financial Technology Analytics, Healthcare Analytics, Chain Analytics and Talent Analytics.STEM-designated •the university MS in business analytics program holds a STEM designation for its focus on science, technology, engineering, and mathematics throughout the curriculum, providing applicant with an innovative approach to data.Upon graduation, applicant’ll be an analytics-driven business manager who is well versed to guide firms in the emerging era of big data and data-driven decision-making.Webinar: Final Round Specialized Masters Program Application Tips.
Average age: 23Average GMAT: 714Average GP 3.58Average GRE-V: 154Average GRE 167.
Graduate Certificate in Business Analytics
College description: CUSTOM PROGRAMS Custom in-person or online programs tailored to their team’s unique business goals.Digital Transformation: Leading People, Data TechnologyThe Berkeley Executive Program on Data Science Analytics.A six-month learning journey into the world of applied data science and analytics.Data science and data analytics are at the core of every modern globalized industry. Working in today technology-centric workforce not only requires superior leadership skills, but the ability to translate data problems into the bigger picture for the organization. The Berkeley Program in Data Science and Analytics is a six-month learning journey into the world of applied data science and analytics. The program will prepare applicant with the tools to build and lead data science teams through data-driven decision-making. Applicant will learn promote a data-driven culture, translate business problems into data problems, and lead a team with a diverse skill set towards solving these problems.The program leverages a global perspective on data science and analytics with five total modules, three in-person and two online. Applicant will leave the immersive six-month hybrid learning journey with developed leadership skills, a deeper understanding of theory, and the ability to apply data science decision-making to their organization and role. Following completion of the program, applicant will receive a Certificate of Excellence in Data Science Analytics.Implement Best Practices for Assembling and Leading Data Science Teams.Frame Problems in a Way That is Amenable to Data Scientists.Identify Root Causes and Increase Clarity with Data.Leadership Roles with Oversight of Data Science Teams.Those with a Need to Understand Data Analytics.Completion of this program awards a Certificate of Excellence in Data Science.The BPDSA was the only one which offered an executive approach to Data Science, from building the team, profiling, tolling and structuring it to finding solutions in the market and proposing and tracking projects making sure the desired results not only are achievable but made sense.
In good academic standing with a GPA of 3.0 or better.
Emory UniversityRanked 21 in Best National University.
MS in Business Analytics
College description: In the MS in Business Analytics program, applicant’ll combine strong technical and quantitative training and building comprehensive business acumen. In a collaborative, project-driven learning environment, applicant’ll create innovative solutions to business problems for real-world clients. By the end of the program, applicant’ll see a data problem from every angle and find innovative solutions.Explore the highlights of what 10 months in the university MS in Business Analytics program look like. The university combine market-relevant skills, experiential learning, and professional development to create business data scientist ready to tackle any data-driven problem.Participate in a series of boot camps to refine their skills.Gain foundational skills and hands-on business analytics experience through courses designed to help applicant excel in any industry. This includes business statistics, business analytics, social network analytics, machine learning, data visualization, and designs analytics optimization.Build their network as applicant engage with the Atlanta Data Science Ecosystem.This includes managing big data, machine learning, and a capstone experience.Apply the skills applicant learned in their coursework and solve sponsored firms’ business problems, using proprietary data. This is their chance to put their skills to the test tackling a real problem for a real client using real data.Travel to the West Coast and witness analytics in action as applicant engage with tech firms and Goizueta alumni residing in the West Coast.This course examines how statistical methods lead to understanding and describing data.
Together, applicant¿ll develop both their digital brand as well as their professional presence through hands-on activities, including both traditional approaches to resume reviews and mock interviews to non-traditional techniques, such as video cover letters and ePortfolio data visualizations.An application is considered completed when Emory University has received: a completed application form official GMAT GRE score and TOEFL test score if applicable their essays all transcripts and their recommendations.Most US transcripts have a notation included that says degree conferred or degree issued . If their transcript does not state that their degree was issued, please include documentation that their degree was issued by their university. If applicant have completed the checklist in their application and yet still receive a message that their application is not complete, please reach out to the MSBA admissions team.If applicant have been working in industry for awhile, then certainly both of their recommenders can be professional recommendations.Please note that TOEFL is NOT required if applicant completed their degree in English and work primarily in an English environment.Requests for a TOEFL waiver should be submitted in writing after submitting their application.The Emory University will accept the GRE.Please note some employers require GMAT scores in the recruiting process.Their GMAT GRE score is only one of the components the Emory University consider when making an admission decision. However, with that said, the university average GMAT is currently 715.If applicant feel their score does not accurately reflect their capabilities then applicant should consider retaking the GMAT.If applicant have taken both the GMAT and the GRE applicant should submit all scores.
M.S. in Business Analytics
College description: The University of Virginia is now officially accepting applications for its new master of science in business analytics degree.As the use of big data and business analytics grows across industries, employers seek professionals who can transform large data sets into deliverables that inform strategic business decisions, drive value and create competitive advantage.The program will be delivered via a combination of weekend, in-person sessions and online instruction, and offer students a broad mix of analytical and technical skills as well as foundational business knowledge and leadership instruction. The MSBA program is designed for professionals with two or years of full-time work experience who seek to enhance their existing business analytics skills or build a career in business analytics.For those new to analytics, the UVA MSBA program will provide ample preparation to transition into a new career in the field. For individuals already working in analytics, the program will fill critical gaps in their technical background and provide the soft skills and strategic business perspective that is required for career advancement into senior positions.
Show evidence of strong problem-solving and analytical skills through a combination of academic background, GMAT or GRE test scores, and experience.
College description: USC Marshall Master of Science in Business Analytics.Business Analytics and Data Sciences is one of the fastest growing fields in the United States.Applicant will have broad and in-depth training in the analysis of big data, including statistical modeling, data management, visualization, information security, optimization, and decision-making under uncertainty. Applicant will also learn present complex data effectively. These are highly marketable skills that will have significant impact on business organizations.Full-time students can earn their degrees in 18 months and are then prepared for an exciting career in business analytics. Part-timers can take one course per semester, and complete their degrees while they are working.
Successful applicants will have scored in at least the 90th percentile on the GMAT or on the GRE.For International students who did not spend 4 years completing a bachelor degree at an American, British, Canadian or Australian college or university, proof of proficiency in English is required for admission.The TOEFL with a score of at least 100 with no less than 20 on each of the four test components.Graduate Management Admission Test or Graduate Record Examination scores no than 5 years old.
Prospective Data Science Masters
College description: Master Program in Quantitative Finance Risk Management.Data Science is often viewed as the confluence of Computer and Information Sciences Statistical Sciences, and Domain Expertise. These three pillars are not symmetric: the first two together represent the core methodologies and the techniques used in Data Science, while the third pillar is the application domain to which this methodology is applied. In this program, core data science training is focused on the first two pillars, along with practice in applying their skills to address problems in application domains.To create an academic plan that achieves this balance, and to foster a greater sense of shared community, the University of Michigan-Ann Arbor does not intend to offer any sub-plans or tracks within the proposed degree program. Rather, the university will expect graduates of this program to understand data representation and analysis at an advanced level.With the MS in Data Science all students will be able to: identify relevant datasets, the appropriate statistical and computational tools to the dataset to answer questions posed by individuals, organizations or governmental agencies, design and evaluate analytical procedures appropriate to the data, and implement these efficiently over large heterogeneous data sets in a multi-computer environment.EECS 403: Data Structures for Scientists and Engineers.BIOSTAT 629: Case Studies for Health Big Data.Students may not double-count a course in multiple categories.
However, if applicant do submit GRE scores, they will be considered.An applicant can check the status of their recommendations, resend a recommendation request, and even change a recommender if the recommendation is not yet started via an applicant Personal Activity page.The only exceptions are new GRE and or TOEFL scores.What documents or standardized tests are necessary for applying the university require official transcripts from and any other graduate degree programs and two letters of recommendation. The university also require TOEFL scores for most international students. GRE scores are optional: the University of Michigan-Ann Arbor does not require them, but will consider them if applicant provide them.When possible the university suggest that at least one of the recommendation letters be from academia.The University of Michigan-Ann Arbor is most concerned with reading letters from individuals who can speak to their skills and abilities as relevent to the program.
College description: The MS in Business Analytics program teaches students to understand the role of data in decision making.Business Analytics is the intersection of business and data science, offering new opportunities for a competitive advantage. Business analytics unlocks the predictive potential of data analysis to improve financial performance, strategic management, and operational efficiency.Graduates of this program will be equipped to influence decision-making and strategy, and they will ultimately drive better business results by gaining the ability to transform data into a powerful and predictive strategic asset. Business Analytics is critical in preparing organizations to solve 21st-century business challenges and participants of this program will have exposure to innovative methodologies that support data-driven decision making.Lola Alarcon Tomas, Class of '17, is Data Analytics and AI Product Manager at Vodafone.
Why choose the MS in Business Analytics at NYU Stern This advanced business degree program teaches students to gain a competitive edge by synthesizing data to make better decisions.
W M MS in Business Analytics
College description: Business Analytics for Strategic Leaders: The power of data-driven results.In an age of digital disruption and high-stakes competition, the role of data analytics and its ability to shape daily decision-making is critical to their organization’s success. However, knowing use, implement and leverage data-driven sources can be daunting at best.As a leader, their ability to create capacity for innovation across the organization relies heavily on getting the right data, interpreting the results, and making the right decisions. This three day open-enrollment program is designed for forward thinking executives with a responsibility to develop and implement the organizational strategy and grow the business.Business Analytics Data Analytics will take place on the historic campus of William Mary at the Raymond A.Book their group rate for Business Analytics for Strategic Leaders.This course is designed to provide leaders with a well-rounded perspective of four critical components of a data healthy organization.Fostering a data-driven culture: core qualities and requirements of a well-established data-driven culture.Breaking down silos sharing data for operational effectiveness and efficiency.Standardizing data collection and establishing data management and storage strategies.Preparing dat techniques for sharing data for better data quality.Visual analytics: storytelling with data through graphics and other pictorials.Day 3: Hiring for analytics Investing for analytics.Recruit and interview in analytics experts.Understand the uses of data, big and small.Identify opportunities for data uses and integration into operational systems and processes.Understand what the data is telling applicant their customer, marketing and other operational imperatives.Create an action plan designed to implement and maximize their data sources.Understand what a vibrant data-driven culture looks like.Identify steps necessary to build a successful analytics team.Learn how high performing companies use data analytics to establish organizational goals and objectives.C-suite Executives in marketing, strategy, IT, or operations with growing interest in analytics.Newly appointed leaders who need an understanding of data capabilities.New business owners grappling with where to start.Experienced leaders with a responsibility to grow the business.High potential managers looking to advance their careers with increased knowledge of business analytics.Small business owners interested in leveraging business analytics.Dr. Koehl’s expertise is in the areas of cybersecurity, cloud scalability and performance, and pharmacy healthcare analytics.Dr. Tremblay’s research is focused on data analytics and technology adoption and sustainability in the healthcare context.
While success in this program requires a solid quantitative foundation—a quality most often proven by GMAT or GRE scores—the MSBA is intended to accommodate all passionate and intellectually curious professionals, no matter their standardized test scores or lack thereof.Find out if applicant’re eligible for a GMAT GRE waiver.OPTION A Pass the W M GMAT Waiver Math Assessment with a minimum score of 75 percent.OPTION B Possess a graduate degree in a STEM field with a cumulative GPA of 3.0 or higherOPTION C Have earned a cumulative GPA of 3.0 or higher in the last three quantitative courses taken.Please note: GMAT GRE waivers are not guaranteed and are considered on a case-by-case basis.
Full-Time MS in Business Analytics
College description: Gain a Competitive Edge Through the university Unique MS in Business Analytics Program.The university MS in Business Analytics program will enhance their understanding of the world of business and equip applicant with practical and effective tools to solve complex business problems.The MS in Business Analytics program can be completed through an accelerated non-internship track or expanded to include the option to complete an internship.In addition, this STEM-designated program qualifies eligible graduates on student visas for an optional practical training extension, allowing them to remain in the country for an additional 24 months.Graduates looking to broaden their knowledge and become cross-functional business experts may utilize their MS coursework as a gateway to the Simon MBA. Applicant may be eligible to transfer credit for the majority of the courses completed during their MS studies if applicant decide to enroll in the university prestigious Full-Time or Part-Time MBA program.
The committee uses the admissions interview, combined with their résumé and essays, to assess these qualitative aspects of their application.The university review GMAT and or GRE exam scores and consider the overall results, as well as their quantitative and verbal distribution on the exam. Specific review of business, accounting, and mathematics grades, as well as their overall trend through the bachelor degree, is considered in addition to their cumulative GPA.The university highly recommend a minimum TOEFL score of 100 with sub-scores in the mid-20s or a minimum IELTS score of 7.5 with sub scores of at least 7.
M.S. in Business Analytics Admissions
College description: Unlock the power of data and machine learning to create value for customers and companies.The program offers rigorous, hands-on training that will prepare applicant to use data and analytics to identify business opportunities, generate insights, and create value for both customers and companies.Students enrolled in the Flex Weekend program can complete the degree in between 12 and 24 months depending on their schedule.Leverage data and analytics to drive business decisions and create value.Successful businesses use data and models to make better decisions and gain competitive advantage. Vast amounts of data on customers, suppliers, operations, and financial transactions are collected from a variety of sources, often managed in diverse systems, by multiple stakeholders. Transforming this data into insights that can enhance decision-making is a key challenge for businesses of every size, across all industries. Companies are looking for skilled professionals who can solve key operational and strategic business questions using data, statistics, and machine learning.In the rapidly expanding world of big data, the demand for skilled professionals who can leverage analytics to translate data into valuable business insights has skyrocketed.In fact, four out of five companies in the Fortune Global 100 planned to hire people with data analytics master’s degrees this year.Four and a half years ago, Tom Davenport and DJ Patil declared data scientist to be the sexiest job of the 21st century in the Harvard Business Review.Early career business analytics professionals are opting for master degrees rather than PhD : Burtch research surmises that students are looking for a faster path to the workplace to capitalize on the data tidal wave.
An degree in a quantitative discipline such as mathematics, economics, statistics, physics, engineering, or computer science, or.All applicants are required to submit two recommendations. It is highly encouraged that recommendations be submitted . It is most important that letters of recommendation be completed by individuals who are in a position to analyze their ability and academic promise.The MS in Business Analytics program accepts either GMAT or GRE scores. Applicant may application before taking the GMAT or GRE, but the final admissions decision will not be made until University of California-San Diego has received their scores. Waiver considered for those with an M.D. or Ph.D. in a quantitative discipline, or Master degree in a quantitative discipline with at least 8 years of relevant work experience.TOEFL, IELTS or PTE ScoreThe average TOEFL for the MSBA program is 105.TOEFL IELTS scores can be waived for applicants who have studied at least one full academic year in an or graduate institution in a country where English is the dominant language. If applicant maintained a 3.0 GPA during one academic year in the university, then applicant are exempt from the TOEFL IELTS.
Boston UniversityRanked 42 in Best National University.
MS in Business Analytics Admissions Checklist
College description: With data analytics needs influencing every major industry—including health care, tech, finance, communication, entertainment, energy, transportation, government, and manufacturing, to name some—the demand for skilled talent continues to outpace with McKinsey Global Institute anticipating a shortfall of up to 250,000 data scientists through the decade.Offered on campus and online, the Master of Science in Applied Data Analytics program at Boston University’s Metropolitan College is ideal for mid-career IT professionals or students with a computer science background who seek to train their focus on analytics. Students gain solid knowledge of data analytics and examine the presentation and applications of the latest industry tools and approaches within an academically rigorous framework. Emphasizing both data analytics and applied areas—including databases, applied machine learning, and large dataset processing methods—the Applied Data Analytics curriculum provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing visualizing large amounts of data.Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis.Comprehension of computing concepts and applications requirements involving massive computing needs and data storage.The ability to various data visualization techniques using real-world data sets and analyze the graphs and charts.Understanding of web analytics and metrics, procuring and processing unstructured text data, and the ability to investigate hidden patterns.Knowledge-discovery skills using data mining techniques and tools over large amounts of data.Comprehensive knowledge of data analytics techniques, skills, and critical thinking, and an understanding of the possibilities and limitations of their applications.Applicants must have an earned bachelor’s degree, in any field of study, from a regionally accredited college university prior to enrollment at Metropolitan College.Completed Application for Graduate Admission and application fee.Applicants are not required to have a degree in computer science for entry to a program within the Computer Science.It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, applets, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, interfaces, creating user interfaces, exceptions, and streams.It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams.
Resume Current resume, as required in the Experiences section of the application.GMAT or GRE Results the university accept either GMAT or GRE score reports for applications to the MS in Business Analytics program. Please upload an unofficial copy of their GMAT GRE score report with their application.Students admitted to the university graduate degree programs must provide proof of an earned bachelor’s degree or equivalent international credential.The university want their video essay recording process to be as easy as possible. The university recommend trying out a few of the sample Kira questions prior to recording their formal video essay.The university will consider their MS in Business Analytics application without a GMAT or GRE score if applicant have taken some quantitative or analytical coursework during their studiesThe university will consider GMAT GRE waivers for the MS in Business Analytics only.The decision to grant the GMAT GRE waiver is made at the discretion of the admissions committee. Should the committee decide that a GMAT or GRE score is needed to fully evaluate their candidacy for the MS in Business Analytics program, applicant will be informed once their application has been initially reviewed.Additionally, candidates who have or will have worked for at least two years in a full-time, post-bachelor’s degree position in the US are eligible for an automatic waiver.The university require that applicants hold a four-year bachelor’s degree from an accredited US institution or its international equivalent. If applicant have earned a three-year degree that is the equivalent of a four-year degree in the US, it will be accepted in the admissions process. For example, if applicant earned a three-year degree in India, their degree will qualify applicant to be considered for admission.