The Master of Science in Business Analytics (STEM) program at Columbia University is consistently ranked as one of the top programs in the field. With rankings of #11 in Business and Economics by THE (Times Higher Education) and #11 in Accounting & Finance by QS, the program offers a comprehensive curriculum that combines data analytics with management and communication skills. The student-faculty ratio of 6:1 ensures personalized attention and support for students, allowing for a high level of engagement and academic success. With an acceptance rate of only 5.8%, Columbia University attracts top-tier students who are dedicated to excelling in the field of business analytics.
In order to be considered for admission to the Master of Science in Business Analytics program at Columbia University, applicants must have a strong academic background in mathematics, statistics, or a related field. Additionally, applicants are required to submit transcripts, letters of recommendation, a resume, and a statement of purpose outlining their academic and career goals. Standardized test scores, such as the GRE or GMAT, may also be required depending on the applicant’s background and experience.
Columbia University has a highly competitive admission process, with an acceptance rate of 5.8%. In addition to meeting the academic requirements, applicants are encouraged to highlight their leadership abilities, professional experience, and commitment to the field of business analytics in their application materials. The admissions committee evaluates each applicant holistically, taking into account their academic achievements, work experience, letters of recommendation, and personal statement. Successful applicants demonstrate a strong passion for data analytics and a clear vision for how they will utilize their skills to make an impact in the business world.Master of Science in Business Analytics (STEM) at Columbia University Rankings
| Rank | Rank Publisher |
|---|---|
| #11 | PG Business and Economics THE (Times Higher Education), 2023 |
| #11 | Accounting & Finance QS, 2023 |
Columbia Applied Analytics Ranking
We begin with Columbia Applied Analytics Ranking, then columbia applied analytics acceptance rate, columbia applied analytics class profile, columbia applied analytics tuition and columbia applied analytics curriculum.
Columbia University is ranked #19 in QS Global World Rankings 2024. The university is located in New York City and has a total of 23,000 students.
Columbia University was founded in 1754 by King George II of Great Britain. It was originally called King’s College and then became Columbia College when it moved to its present location in Morningside Heights, Manhattan.
The university has been ranked among the top 20 universities in the world by QS since 2012. This is due to its excellent reputation for research quality and teaching quality as well as its high number of Nobel laureates, National Medal of Science winners and Pulitzer Prize winners.
Columbia University also ranks highly in other areas such as international student satisfaction and employer reputation among graduates.
Columbia Applied Analytics Ranking | Columbia Applied Analytics Acceptance Rate | Columbia Applied Analytics Class Profile | Columbia Applied Analytics Tuition | Columbia Applied Analytics Curriculum |
|---|---|---|---|---|
#19 in QS Global World Rankings 2024 | 20% | – Average GPA: 3.5– Average GRE: 320– Work Experience: 2-5 years | $65,000 per year | – Data Analysis Techniques– Predictive Modeling– Machine Learning |
Columbia Applied Analytics Acceptance Rate
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The program combines in-depth knowledge of data analytics with the leadership, management, and communication principles and tactics necessary to impact decision-making at all levels within organizations. The student-faculty ratio of this college is 6:1. The acceptance rate of Columbia University is 5.8%.
Columbia University offers a Data Science program that is designed for professionals who want to make sense of Big Data. This program will give you an overview of the tools and techniques used by data scientists, as well as practical applications in various industries such as finance, marketing, healthcare and others.
The Data Science program at Columbia University requires students to complete 12 courses over four semesters which include:
Data Science and Analytics; Data Science Capstone; Introduction to Probability Theory; Linear Algebra; Applied Regression Analysis; Statistical Inference and Experimental Design; Machine Learning; Computer Architecture; Computational Linguistics; Natural Language Processing and Text Mining; Advanced Topics in Natural Language Processing.
Columbia Applied Analytics Class Profile
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Columbia University’s Master of Science in Applied Analytics is designed to prepare students with the practical data and leadership skills to succeed. The program combines in-depth knowledge of data analytics with the leadership, management, and communication principles and tactics necessary to impact decision-making at all levels within organizations.
The Master of Science in Applied Analytics prepares students for a career in analytics by providing them with the opportunity to develop their analytical capabilities, gain an understanding of how data can be used to solve problems, and learn how to communicate effectively about the insights they generate. The program includes courses on applied statistics and machine learning as well as courses on strategy, leadership, management and communication.
Graduates of this program will be able to:
• Apply statistical methods such as regression analysis, time series analysis, experimental design and statistical pattern recognition in their work
• Use data visualization techniques to better understand complex datasets
• Apply machine learning techniques such as clustering and classification to extract useful information from large amounts of data
columbia applied analytics tuition
The following fees, prescribed by statute for each Fall or Spring term, are subject to change at any time at the discretion of the Trustees. The fees shown are those in effect during the 2021–2022 academic year.
University charges, such as tuition and fees, residence halls, and dining plans, are due and payable in full by the date announced before the beginning of each term. To check on an account balance, log in to Student Services Online (SSOL) or call 212-854-4400. A late payment penalty is assessed on payments received after the due date.
It is the policy of the University to withhold all University services, including registration, diplomas, and official transcripts, until all financial obligations have been met.
Tuition 2021–2022
There is a flat tuition charge for all Columbia College students, including visitors, regardless of the number of credits a student is taking. Students who are enrolled for eight terms must pay the flat tuition, regardless of the number of credits they are taking. The charge for 2021–2022 is $30,257 a term.
Postgraduate special students and degree candidates enrolled for a ninth term are billed according to the per-point system; the per-point cost is $2,022.
Late Registration Fee
Students who register after the scheduled period (see Academic Calendar) are charged a late registration fee of $100.
Mandatory Fees*
| FEE | COST |
|---|---|
| Student Life Fee* | $1,770 |
| Columbia Health and Related Services Fee | $1,246 |
| Total | $3,016 |
*Students registered in Columbia College (Fall Term): $843; Students registered in Columbia College (Spring Term): $927
Document Fee
All first-time registrants at Columbia University are charged a one-time document fee of $105, which thereafter allows them to order transcripts and enrollment and degree certifications, and to receive the mailing of the original diploma at no additional charge. This fee appears on the first Student Account Statement of the Fall term.
International Services Charge
All students holding a non-resident visa are charged an international services charge of $120 each term, totaling $240 for academic year 2021-2022. This fee supports the University’s services to international students.
Columbia Health and Related Services Fee and Student Health Insurance Premiums
Columbia Health and Related Services Fee
Columbia Health programs and services are supported by the Columbia Health and Related Services Fee. Students can access the on-campus services provided by the units of Columbia Health and pay no additional charges for most on-campus services:
· Alice! Health Promotion, including the Gay Health Advocacy Project (GHAP)
· Counseling and Psychological Services
· Disability Services
· Medical Services
· Sexual Violence Response
All full-time students, international students, and and part-time students who are on the Columbia Student Health Insurance Plan are required to pay the Columbia Health and Related Services Fee. Half-time or part-time students pay a reduced fee and have access to some, but not all, of the services. Half or part-time students may elect to upgrade to the full-time fee to have access to the full range of on-campus programs and services. For details on the fee levels please visit the Columbia Health website.
The Columbia Heath and Related Services Fee is billed separately for each term. The periods of coverage and fees for 2021–2022 are as follows:
| TERM | DATES | COST |
|---|---|---|
| Fall Term | August 15, 2021–December 31, 2021 | $623 |
| Spring Term | January 1, 2022–August 14, 2022 | $623 |
Student Health Insurance Premiums
To ensure students have access to high-quality healthcare while at Columbia, University policy requires all full-time students and all international students to have health insurance coverage that meets University requirements, in addition to the on-campus programs and services provided by Columbia Health. Columbia University offers the Columbia Student Health Insurance Plan (Columbia Plan), administered and underwritten by Aetna Student Health. Please visit the Columbia Health Insurance website for plan benefits and cost.
International students
Navigating the U.S. healthcare system can be complex. To help ensure that international students have access to the highest quality of care on- and off-campus, Columbia University requires all international students to enroll in the Columbia Student Health Insurance Plan. On a limited case-by-case basis, international students may qualify for an exception.
Waivers and exceptions
Domestic students who have an alternate insurance plan that meets established criteria set by the University may submit a request for a waiver and on a limited, case-by-case basis, some international students may submit a request for an exception. Visit the Columbia Health website for more information about waiver and exception criteria.
Waiver and exception requests are due at least two weeks before the enrollment deadline (September 30 for Fall enrollment; February 15 for new Spring enrollment; or June 15 for new Summer enrollment). All requests are considered, but approval is not guaranteed. Students who do not submit a request for a waiver or exception in a timely manner will be charged the insurance premium on their term bill and are responsible for these charges.
Students must confirm their enrollment on SSOL or submit a request for a waiver (domestic students) or exception (international students) on the Columbia Health Patient Portal every year. Students will receive reminders thorough their Columbia email.
Columbia Applied Analytics Curriculum
Applied Analytics in the Organizational ContextONLINE & IN PERSON
Applied analytics is about the strategic use of data and analytics to inform decisions within an operating environment. The use of analytics is rapidly becoming ubiquitous across all organizational functions. This course helps students understand how data and analytics are used across different functions to inform decisions that impact the organization. As such, it is the introductory course to the professional practice of applied analytics and the first course in the leadership sequence.
The course focuses on data and analytics within operational functions of different kinds of organizations across a range of industry sectors, and the overall ecosystem within which they operate. Students will also learn about the broader context—economic, technological, social, and demographic, and how these trends are influencing the use of analytics. Students learn how data and analytics are used to understand how an organization is currently performing, and how data and analytics can be used to inform future actions to optimize the performance of an organization. The goal is to introduce students to the professional practice of applied analytics, focusing on how analytics can inform a wide range of operational decisions within an organization.
COURSE NUMBER
APAN PS5100
FORMAT
Online & In Person
POINTS
3
Applied Analytics Frameworks and Methods IONLINE & IN PERSON
The world is generating data at an ever faster pace, including through business transactions, online searches, social media activities, and a variety of sensors. The ready availability of this unprecedented amount of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques are the focus of this course.
As the starting point of the two-part Frameworks and Methods sequence, the course guides students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition.
COURSE NUMBER
APAN PS5200
FORMAT
Online & In Person
POINTS
3
Research DesignONLINE & IN PERSON
Organizations need quantitative analysis to solve complex problems and make consequential choices. Research design provides both a coherent framework for collecting relevant evidence and strategies for evaluating that evidence. Knowledge of research design enables organizations to make adaptive and effective use of quantitative analysis in solving problems and making choices. This course serves as a foundational course in the Applied Analytics program.
In this course, you will approach problems as methodological thinkers: you will assess whether the organization is asking the right questions, choosing a relevant design, gathering appropriate and meaningful evidence, and using the appropriate statistical analysis to answer those questions.
To varying degrees and in different organizational contexts, we will work to answer some of the following key questions:
- What are the key questions that strategic decision makers need to formulate and answer in order to inform their decisions?
- What data are available (and unavailable) that might be used to inform the important strategic decisions?
- What research questions are implied by the needs of strategic decision makers?
- What data do we need to measure those variables? Are we currently collecting that data? Why or why not?
- Which analytical methods might be helpful in answering the research question?
- What might challenge the validity of results and how can research results be communicated in a way that mitigates the risks associated with these challenges?
- What are the business factors that influence decisions about how research is undertaken?
COURSE NUMBER
APAN PS5300
FORMAT
Online & In Person
POINTS
3
Storytelling with DataONLINE & IN PERSON
Data does not have meaning without context and interpretation. Being able to effectively present data analytics in a compelling narrative to a particular audience will differentiate you from others in your field. This course takes students through the lifecycle of an analytical project from a communication perspective. Students develop written, verbal, and visual deliverables for three major audiences: data experts (e.g., head of analytics); consumer and presentation experts (e.g., chief marketing officer); and executive leadership (e.g., chief executive officer).
Students get ample practice in strategic interactions in relevant social and professional contexts (e.g., business meetings, team projects, and one-on-one interactions); active listening; strategic storytelling; and creating persuasive professional spoken and written messages, reports, and presentations. Throughout the course, students create and receive feedback on data storytelling while sharpening their ability to communicate complex analytics to technical and nontechnical audiences with clarity, precision, and influence.
COURSE NUMBER
APAN PS5800
FORMAT
Online & In Person
POINTS
The Master of Science in Applied Analytics at Columbia University is a fast-paced, immersive program that develops your ability to use data to deliver insights through analytics. The program combines in-depth knowledge of data analytics with the leadership, management, and communication principles and tactics necessary to impact decision-making at all levels within organizations.
Students in the program will gain a comprehensive understanding of how to apply analytics in real-world settings through hands-on learning with industry professionals. They will also learn how to translate their knowledge into actionable recommendations that can be implemented by managers and executives who want to make decisions based on data rather than intuition or emotion.
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