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Program Overview

BRIDGE School of Management

BRIDGE School of Management

Northwestern University School of Professional Studies is proud to partner with the BRIDGE School of Management. The BRIDGE School of Management addresses India’s "education-employment mismatch" by equipping working professionals with skills and practical knowledge of real business value for a global workplace. For Northwestern University's domestic Business Analytics Certificate Program, click here.

BRIDGE Programs

Business Analytics for Decision Makers

This program is geared to decision makers and leaders who need to understand the strategic value that business analytics can bring to an organization. Students will learn what analytics is and what it can and can’t do; how to build the skills to implement it; how to integrate it into other strategic processes; how to gather data across multiple sources including supply chains, POS systems, customer interactions, and market research activities; and how to make strategic decisions based on results of analysis.

Visit the Business Analytics for Decision Makers program page.

Postgraduate Program in Data Science, Design and Visualization

The Postgraduate Program in Data Science, Design and Visualization aims to train students for a successful career in business analytics, across a range of functions. The hands-on program ensures end-to-end, application-oriented learning and execution of concepts essential in the industry.

Visit the Postgraduate Program in Data Science, Design and Visualization program page.

Postgraduate Program in Digital Marketing Strategy

The digital marketing landscape continues to accelerate at breakneck speed and marketers of all types are faced with new challenges and opportunities on a daily basis. It is an essential business practice for businesses to reach, engage and interact with their target audience and customer base.

Visit the Postgraduate Program in Digital Marketing Strategy program page.

Predictive Business Analytics Professional Development Certificate

This certificate program, offered through a partnership between the Bridge School of Management and Northwestern University School of Professional Studies, gives students a comprehensive and practical understanding of the predictive analytics process to harness the power of big data and analytics and gain valuable business insights applicable across a wide range of industries. This program is intended for working professionals who are using--or wish to use--predictive analytics at a variety of levels and working in industries such as financial services, banking, insurance, marketing, health care, logistics, e-commerce and many others. The program will be of great benefit to students who wish to distinguish themselves across a broad range of employment opportunities.

Visit the Predictive Business Analytics program page.

Project Management for Practitioners

Designed for project team members, part-time project managers and professionals, this 3-day course provides a detailed examination of the fundamental processes of project management and meets the 23 contact hour training requirements for PMI®'s Certified Associate Project Manager (CAPM®) exam. Using lectures, case studies, discussions and individual and group exercises, participants will learn how to apply the 5-Process Groups of Project Management to projects which are; initiating, planning, execution, monitor/control, and closeout. This will include an emphasis on determining how to meet customer/client needs, communication and negotiation.

Visit the Project Management for Practitioners program page.

Project Management for Managers

This 12-week blended program introduces best practices in project management, covering the full project life cycle with a focus on globally accepted standards. It reviews traditional methods, including: integration, portfolio and stakeholder management, chartering, scope definition, estimating, the Delphi method and project evaluation and review technique, precedence diagramming and the critical path method, scheduling, risk analysis and management, resource loading and leveling, Gantt charts, earned value analysis and performance indices of project cost/schedule control systems criteria. It shows how the project management maturity model, team development, and principles of negotiation apply to organizations of various types: hierarchical and matrix organizations, international teams, and virtual teams. Using methods and models from this course, predictive analytics managers should experience greater project definition and structure and be able to execute projects more effectively.

Visit the Project Management for Managers program page.

Core Courses:Course Detail
Foundations in Statistics <> PRED_BUS 200-DL

In this age of data explosion, a business is successful only when it is able to make sense of the data at its disposal. Statistics is instrumental in transforming numbers into useful information for decision makers at all levels. This course introduces students to basic statistical concepts to be used as a foundation of business analytics. Descriptive Statistics are the methods that discuss data collection, summarization and presentation. Statistical Inference is the collection of methods that interprets data collected from a small group and extends understanding to a larger group. This course introduces students to numerical and visual summarization of data, introductory probability, common probability distributions, sampling distribution and basic concepts of statistical inference Applications of statistics in business decision making are emphasized through case studies and data analysis. Discussion questions are provided with the goal of facilitating logical thinking and taking quantitative approaches towards solving business problems. Appropriate use of statistical techniques and correct interpretation of statistical findings in business analytics are vital in order to help business make sense of data. This course will help students in developing basic understanding of statistics and drawing inferences based on data. This course will also prepare the pathway for students to delve into big data and predictive analytics in the next modules of the course.


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Intro to Business Analytics <> PRED_BUS 201-DL

This course focuses on building the programming and analytics skills necessary to build analytics solutions to business problems. The course begins with a general introduction to the subject of business analytics: what it is, how does it add value in an organization, and what are characteristics of organizations which successfully use analytics to drive operations. Using that as a foundation for later thought and action, the course moves into the fundamentals of programming using the mathematical and analytics language R. Through a mix of online content and student activities, the concepts of how to program in R are delivered. Students perform weekly activities including discussion boards, quizzes and assignments as well as exploration of the larger online data science and analytics community to prepare for applying analytics to business scenarios. The course wraps up with application of the analytics skills to reading and understanding business cases and a review of how hypothesis testing can be applied in business situations to promote better operations and results.


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Modeling Methods <> PRED_BUS 202-DL

This course introduces students to applying predictive models in business areas such as marketing, finance, supply chain, etc. The course aims to provide a hands-on approach to teach students about models that are frequently applied to make informed business decisions. Students will learn regression and classification methods – based on ordinary least squares based regression, logistic regression, and multinomial logit, and classification and regression trees. Student will learn how to implement these methods in the R statistical programming language. The course format is a combination of textbook readings, Video sessions, group discussions, in-class and online lectures from faculty. Weekly quizzes and programming assignments using R will be used to reinforce both concepts and practice.


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Advanced Modeling Methods <> PRED_BUS 203-DL

Advanced Modeling Methods gives business analysts the foundation and tools to implement various prediction algorithms that will allow them to make better data driven decision for their business. This course places emphasis on modeling techniques to gain insight into hidden data patterns while using the technology stack of R. Topics covered will include various classification algorithms such as Cluster Analysis, Neural Networks, Discriminant Analysis, and Support Vector Machines. Students will also be introduced to various topics in Time Series, and other statistical based methods including Principal Component Analysis and Affinity Analysis. Lastly, students will learn about the structure of Networks and how tools such as Sentiment Analysis can provide valuable insight into their customer base.


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Analytics Communication & Mgmt <> PRED_BUS 204-DL

In this section we will focus the keys to becoming a predictive analytics enabled organization. Next we will examine how to take the results from data mining and predictive analytics to create powerful and convincing visual analytics. We will focus on creating info graphics, PowerPoint presentations, Dashboarding software and writing simple code in R to create powerful charts and infographics. We will also learn methods to create lasting impact on the audience while designing such infographics, visuals and dashboards. We will learn different examples from the industry on the best practices. Lastly, we will examine how an organization can use predictive analytics as a competitive advantage and the privacy and security concerns that may accompany that transformation.


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Elective Courses:Course Detail
Marketing Analytics <> PRED_BUS 302-DL

This course focuses on marketing analytics methods and applications that are used to develop marketing strategies, and create a link between marketing, customer behavior and business outcome. The course will emphasize multivariate analytical techniques organized according to the Strategic Marketing Process. This course lays the foundations of Marketing Analytics in a Strategic Marketing process within the confines of a typical Business environment. The course would cover strategic analytical approaches such as, market segmentation, targeted marketing via database marketing, design of new products via conjoint analysis, Consumer Choice Modeling, product positioning via perceptual mapping, intra-category competitive analysis, Digital Marketing Analytics, and Marketing mix modeling.

The class will assume that students have knowledge of various statistical methods and software from PBA-1, PBA-2, and PBA-3 courses. Students will be introduced to new analytical methodology such as orthogonal experimental designs, conjoint analysis, conjoint simulators and consumer choice modeling, and perceptual mapping.

The course will use a combination of weekly readings, case studies, group assignments, individual assignments, group assignments, and a group project.


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Risk Analytics PRED_BUS 303-DL

This course is an elective in the curriculum of the Certificate in Predictive Business Analytics. It builds on the previous introductory material to provide analysts with the tools to quantify, mitigate, and manage risk in a business setting. Students will identify business risks, design risk analyses, and use technologies—primarily the R programming language—to run risk analytics and simulations.


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