Cornell Johnson Launches STEM Master In Business Analytics

Cornell Johnson College of Business is the latest US business school to launch a Master in Business Analytics (MSBA) program.

Cornell follows other top US schools like MIT Sloan School of Management and UCLA Anderson School of Business, who offer top-ranked MSBAs.

The STEM-designated program will be taught part-time over 16-months and will be predominantly online.

Cornell Johnson MSBA: The curriculum
Demand for data analytics skills is growing. According to the GMAC Corporate Recruiters Survey, 37% of recruiters hired MSBA grads in 2018, compared with a projected figure of 62% in 2021.

This increase means MSBA grads are likely to be able to land roles across a wide range of industries, with the vast majority of companies implementing data into their business models.

“The need for data analytics in organizations and society is increasing rapidly,” says Vishal Gaur (pictured), program director for the new MSBA. “We have been working towards this program for the last two years, meeting with alumni and recruiters to assess the requirements from business analytics professionals.”

Cornell’s new MSBA looks to capitalize on this trend, offering students the chance to develop their analytics skills and knowledge of analytical tools.

The program is scheduled to begin in May 2022, and will run until August 2023. It will be delivered through Cornell’s award-winning online learning platform eCornell.

Teaching will be delivered asynchronously, giving students the flexibility to view online sessions at a time that suits them. But there will be some in-person requirements; Cornell’s MSBA curriculum includes two week-long residency sessions in the summers of 2022 and 2023. These will be held in Ithaca and New York City.

The program is also designed to encourage students to work together, Vishal says.

“It will be run like a residential Johnson program with small cohorts, extensive interaction with faculty and fellow students, and co-curricular activities that allow students to expand their knowledge and network outside of the classroom,” he explains.

The curriculum covers core business elements along with soft skills such as communication and teamwork. This is combined with a focus on analytics skills; students will learn to use tools like Python, SQL, and Tableau to gather, analyze, and visualize data.

Industry-focused specializations
Along with the flexible teaching delivery, the curriculum also features six elective modules covering topics like Machine Learning for Investment and Customer Analytics and Strategy.

During a specialization period, students can choose from one of four different concentrations. These include Marketing Analytics, Finance Analytics, Operations and Supply Chain Analytics, and Business Analytics.

Each specialization is designed for students aiming to launch careers in their chosen field, and so covers a range of analytics functions within that industry. The Finance Analytics specialization, for example, includes teaching on subjects including corporate finance, fintech, and lending and credit analytics.

The program also requires students to work together in teams on a variety of projects. During the program each student will work on a Capstone Project where they will seek to solve a real-world issue using a large data set and analytics tools. They’ll present their findings to MSBA faculty members.

Applications for the Cornell MSBA are now open. If you’d like to enroll in this cutting-edge program, Cornell estimates tuition will amount to around $78,000.

Data policy program boosts high school students

This spring, more than 100 underserved high schoolers in New York, Florida and Michigan participated in an expanded online data policy and analysis program, in which they explored pressing policy issues such as income inequality, racial justice and climate change through economic and sociological lenses.

The program – developed by eCornell, the School of Continuing Education (SCE) and the nonprofit National Education Equity Lab (NEEL) – was led by Maria Fitzpatrick and Matthew Hall, both professors in the Department of Policy Analysis and Management, in the College of Human Ecology. In examining important issues – including education equity and COVID-19 – students sought to determine how big data is being used to address policy problems in the United States and across the globe.

Students had the opportunity to learn directly from Cornell faculty via virtual office hours, lab sessions and one-on-one facetime.

“Maria Fitzpatrick and Matthew Hall have been forces of nature in providing transformational opportunities to students who need it most,” said Leslie Cornfeld, NEEL’s founder and CEO.

During a closing ceremony May 26, Provost Michael I. Kotlikoff praised the high school scholars for their achievements, saying he was proud of Cornell’s leadership in this effort with the Equity Lab as it reflects Cornell’s commitment to equity, access and opportunity.

Fitzpatrick called the program “one of the best teaching experiences of my career.”

Last summer, eCornell and NEEL piloted a high school program with Donna Haeger, professor of practice in the Charles H. Dyson School of Applied Economics and Management, based on Haeger’s popular on-campus spreadsheet modeling courses. To expand the collaboration, this spring eCornell and SCE worked with NEEL to offer a three-credit online undergraduate course, Big Data for Big Policy Problems (PAM 270).

Many of the 16 schools participating in the high school program signed on to provide supervising teachers, who coached and helped all students with time management. NEEL provided a Chromebook to any student without access to a laptop.

“Cornell University’s leadership is a national model for what selective universities can accomplish in the education justice space,” Cornfeld said.

“With this expansion, Cornell has powerfully demonstrated their commitment to racial and economic justice. They’re not just talking the talk. That commitment should make current and future students, as well as alumni, proud of their alma mater.”

One such future student is Melanie Lantigua, a high school student from the Bronx who successfully completed the course and will be attending Cornell this fall as a first-generation student.

“I hope Cornell continues to offer opportunities like this to scholars in underserved high schools across the nation,” Lantigua said during the ceremony. “We need opportunities like this to show colleges – and ourselves – what we can do.”

Jamie Bonan ’18 is a content marketing specialist at eCornell.

Master data science programming in R with new certificate program

In a world run by data, the demand for this skill has never been higher. Data analytics is essential to almost every facet of decision-making across any organization. Glassdoor recently named it the #1 job in America, and in the top 3 must-have skills. Cornell’s new certificate program, Data Analytics in R, is designed to help take a fundamental understanding of analytics to a mastery of programming in R.

Ideal for any professional looking to scale their skills and knowledge, this program will teach techniques for understanding, modeling and visualizing data using R, including predictive and prescriptive analytics, machine learning, the Monte Carlo simulation and optimization methods for making both small and large scale decisions.

“The world has really progressed when it comes to data analytics. Today it is being used across all organizations and verticals, be it financial services or consumer goods or travel, to enable informed decisions on a daily basis,” said Chris Anderson, faculty author and Professor at the School of Hotel Administration within Cornell’s SC Johnson College of Business. “We’re now at a place where these are critical skills for people who want to set themselves apart.”

The program consists of three three-week courses:

  • Predictive Analytics in R
  • Clustering, Classification, and Machine Learning in R
  • Prescriptive Analytics in R

Upon completion, participants will receive a Data Analytics in R certificate from Cornell University. Learn more about this program by visiting the eCornell website.