All Courses
×
Fairfield University Logo

Master of Science (MS) in Business Analytics From Fairfield University

  • Earn your Master’s in Business Analytics from Fairfield University.
  • Get additional PG Certification in Data Analytics from iHUB, IIT Roorkee.
  • Learn from Fairfield Dolan professors through live Q&A Sessions.
  • Master Python, R, SQL, data visualization, and advanced analytics.
  • Get a degree from a QS #101, AACSB-Accredited, WES-Approved University.
Fairfield University Video Image
Course Introduction
2,427 Learners
Next cohort Starts
28th Sep 2025
Learning Mode
100% Online
Course Duration
12 Months
Accreditations & Recognitions

Why Join This Program?

MS in Business Analytics from a Globally Ranked U.S. University
Earn your degree from Fairfield University, AACSB-accredited and ranked #101 by QS World Rankings
Additional Certification from iHUB IIT Roorkee
Earn a prestigious EPGC certification in data analytics from iHUB IIT Roorkee with 2 days of campus immersion at iHUB, IIT Roorkee.
Same Faculty. Same Curriculum. Same Outcomes.
Experience Fairfield’s on-campus quality through self-paced lectures and live Q&A sessions from Dolan School of Business Professors.
Fairfield Alumni Status with Email and Library Access
Receive a Fairfield email ID, alumni status, ID Card, and access to university library resources just like any other student on campus.
Next Cohort Starts on
28th September 2025
Days
Hrs
Min
Sec
Corporate Training
Enterprise Training for Teams
Get a quote

Career Transition

59% Average Salary Hike

$1,08,000 Highest Salary

700+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Master of Science (MS) in Business Analytics Degree Overview

Key Features

Key Feature
Prestigious AACSB-accredited Global business school. (top 5%)
Key Feature
40+ Hours of live Q&A sessions with Fairfield Faculty.
Key Feature
200+ hours of self-paced learning modules.
Key Feature
STEM-designated with a career-focused curriculum.
Key Feature
30 transfer credits toward future academic goals.
Key Feature
30+ projects and industry-relevant quizzes.
Key Feature
24/7 learner support for instant doubt resolution.
Key Feature
Earn an additional EPGC certification in Data Analytics from iHUB, IIT Roorkee.
Key Feature
Alumni Status of Fairfield University, Email, ID Card & Library Access.
Key Feature
Join a diverse peer network and grow with a global learning community.

Two Globally Recognised Credentials. One Powerful Career Move.

These certificates show you know how to turn data into real business outcomes.

Certificate image
Fairfield Certificate
Partnering with Fairfield
  • Globally Recognized University for MS in Business Analytics
  • World-Class Teaching in Online Mode, at par with on-campus standards
Executive Post Graduate Certification in Data Analytics 455x322 1
iHUB, IIT Roorkee Certificate
Partnering with iHUB, IIT Roorkee
  • 50+ live Interactive sessions delivered by Faculty & Industry Experts.
  • Earn Executive PG Certification in Data Analytics from iHub IIT Roorkee.

Career Services
Career Services are provided to all learners by IntelliPaat after they complete the course and clear the PRT (Placement Readiness Test).
What we provide?
  • Placement Assistance
  • Mock Interview Preparation
  • Career-Oriented Sessions
  • Exclusive access to the Intellipaat Job portal
  • 1-on-1 Career Mentoring Sessions
  • Resume & LinkedIn Profile Building
3100+ Hiring organisations
ip new layout default

Course Curriculum - Fairfield University

Self-Paced

Module 1 - Essentials

DATA 5400 – Applied Business Statistics

This hands-on course equips you with statistical tools to analyze and communicate data for business decision-making. It uses spreadsheet software and case studies from finance, marketing, operations, and more.

  • Data presentation and communication techniques
  • Probability distributions and sampling
  • Hypothesis testing
  • Regression and time series analysis
  • Applying statistics to real-world business scenarios

DATA 5405 – Python Fundamentals

An introduction to Python focused on general programming concepts and practical use in business analytics. You’ll work through lessons, quizzes, and coding challenges to build confidence.

  • Python syntax, logic, and structure
  • Data types, functions, loops, and file handling
  • Writing efficient code for business data tasks
  • Best practices in Python for analytics
  • Final hands-on project to apply your skills

Module 2 - Foundations

DATA 6500 – Leading with Analytics

This course builds both your leadership mindset and your technical fluency. It’s designed to help you think like an analytics leader while developing hands-on modeling and problem-solving abilities.

  • Framing and scoping business problems through data
  • Descriptive and inferential statistics for leadership decisions
  • Spreadsheet modeling and predictive analysis
  • Monte Carlo simulations and risk modeling
  • Optimization and decision analysis
  • Group research project using curated big data sets

DATA 6505 – Data Munging in Python

Designed for learners familiar with Python, this course dives into the essential phase of cleaning, transforming, and preparing data for analysis. It’s practical, project-oriented, and job-market relevant.

  • Data collection, preprocessing, and visualization
  • Handling real-world datasets in Python
  • Web scraping and API integration
  • Exploratory data analysis and transformation
  • Final project in business data preparation

DATA 6510 – Data Warehousing and Visualization

This course teaches how to manage, store, and visualize business data at scale. You’ll work with SQL, data models, and tools like Tableau to deliver insights that can drive action.

  • Fundamentals of relational databases and data modeling
  • Writing and optimizing SQL queries
  • Building entity relationship diagrams
  • Designing interactive dashboards with Tableau
  • Final project integrating warehousing and visual storytelling

DATA 6520 – Analytics Consulting and Strategy

This course simulates real-world consulting. You’ll learn how to apply analytics thinking in business contexts, engage clients, and present strategic recommendations backed by data.

  • End-to-end analytics project management
  • Framing and scoping client business problems
  • Consulting communication and storytelling
  • Predictive and prescriptive modeling in business settings
  • Working in teams with real or simulated client data
  • Final deliverables designed to reflect client-ready outcomes

DATA 6530 – Statistics and Forecasting

This course focuses on modeling uncertainty in business decisions. You’ll work with time series data, forecasting techniques, and risk simulations to make strategic predictions.

  • Time-dependent models and ARIMA techniques
  • Monte Carlo simulations and advanced solver tools
  • Trend analysis and exponential smoothing
  • Scenario modeling for risk and uncertainty
  • Forecasting across domains like finance, sales, and customer behavior

DATA 6540 – Business Intelligence and Data Storytelling

With data everywhere, knowing how to interpret and communicate insights is critical. This course helps you master modern BI tools while sharpening your data storytelling skills.

  • Building interactive dashboards with Tableau and R
  • Designing user-centric analytics applications
  • UI and UX best practices for BI environments
  • Cloud-based deployment of insights
  • Final project that brings together business context and narrative impact

DATA 6560 – Sports Analytics

This course explores how analytics is transforming sports—from team performance to fan engagement. You’ll learn how to ask the right questions, work with real-world data, and communicate insights even to non-technical audiences.

  • Framing analytical questions in sports
  • Evaluating trends and research in sports analytics
  • Applying predictive models across different sports
  • Communicating insights with clarity and impact
  • Final submission: a sports analytics research paper

DATA 6570 – Artificial Intelligence Applications

AI doesn’t have to be intimidating. This course focuses on how to use modern, low-code tools to solve real business problems with artificial intelligence—without needing to build models from scratch.

  • Core AI and ML principles applied in business
  • Using cloud and desktop tools to deploy AI models
  • Chaining no-code and low-code tools for automation
  • Solving practical problems across industries with AI
  • Hands-on project with real-world AI applications
View More
Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.
24+ Tools Covered
python 2
R programming
SQL 1
excel 1
tableau 3
Power BI
jupyter 3
Google Colab
matplotlib
Seaborn 1
pandas
numpy 2
scikit learn 1
TensorFlow
Keras
ggplot2 1
shiny 1
R studio 1
Power Query
Access
SAS
alteryx 1
data robot 1
celonis 1
24+ Skills You Will Learn in This Degree

Python Programming

R Programming

SQL for Data Analysis

Advanced Excel

Data Visualization

Dashboarding

Business Intelligence

Statistical Analysis

EDA

Machine Learning Basics

AI Fundamentals

Predictive Modelling

Mathematical Modelling

Data Cleaning

Data Storytelling

Relational Database Design

Decision Making

Process Mining

Automation Concepts

Model Deployment

Industry Problem Solving

Capstone Execution

Cloud Exposure (optional)

View 9 more Skills

Case Studies & Industry Projects

Why Intellipaat and Fairfield is your gateway to a Successful Business Analytics Career

Parameter
Intellipaat
Others
Live online sessions led by top faculty and industry experts
Affordable Degree Programs from top universities
Career support with mock interviews, resume building, and job guidance
Industry-ready curriculum
Real-world capstone and guided projects
Dedicated doubt resolution and 24/7 learner support
Access to coding assignments, notebooks, and real data sets

Batch Profile

Our online program attracts a wide range of professionals, making each cohort a vibrant mix of experience and industry insights.

By Industry

Information Technology and Services 50%
Finance & Banking 20%
Consulting & Business Services 15%
Healthcare & Education 10%
Other sectors (Retail, Marketing, etc.) 5%

By Work Experience

0–2 years 45%
2–4 years 20%
4–6 years 15%
6–10 years 10%
10+ years 10%

Reviews & Testimonials

4.8 (2,427)
Deepika Dileep

Deepika Dileep

Associate Manager at Ernst & Young

I recently finished my course from Intellipaat, and it was a great learning experience. The course covered essential topics like data modeling, statistics, and more. I also got to work with practical tools such as KNIME, Power BI, and Agentic AI. The lessons were clear, and the support from the trainers was genuinely helpful. Overall, it’s a practical and well-structured course for anyone aiming to become a Business Analyst.Read More

Shiwani Singh

Shiwani Singh

Research Analyst at GRG Health

I completed Intellipaat’s comprehensive Data Analytics & Business Analysis program. It offered a well-balanced mix of SQL, Excel, Python, Machine Learning, Power BI, and Generative AI. The hands-on capstones, real-world case studies, and expert guidance made it an ideal launchpad for building a career in data.Read More

priyadharshini Arumugam

Priyadharshini Arumugam

Senior Process Executive at Cognizant

The training I did with Intellipaat helped me sharpen my skills. I worked on T-SQL, data modeling, and ETL pipelines through hands-on practice. The real-world examples and expert guidance made complex concepts easier to understand. I now feel well-prepared for data analyst roles.Read More

Admission Process

The application process is straightforward and designed to help us understand your goals, background, and readiness for this program. Here’s how it works:

STEP 1
Speak to the course advisor
Understand the program and how it can benefit you.
STEP 2
Application Submission
Register yourself and submit the documents.
STEP 3
Offer Letter
Receive an admission letter from the University
Who Should apply for this course?
To ensure we can give you the best possible outcome from this program, we check for the following things:
  • Indian professionals seeking a globally recognized US degree while continuing to work
  • Graduates from business, finance, or tech backgrounds aiming to specialize in analytics
  • Professionals with 2+ years’ experience aiming to move into high-growth data roles. Experience is optional but valued.

Program Fee & Financing

Total Fee
₹8,89,029
(Inclusive of taxes)
We partnered with financing companies to provide very competitive finance options at 0% interest rate
dk-fee-emi-logo
Admission Closes On:
28th Sep 2025
Apply Now

Program Cohorts

Weekend (Sat-Sun)

28 Sep 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

05 Oct 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

12 Oct 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

19 Oct 2025 08:00 PM - 11:00 PM
8,89,029 10% OFF Expires in

*IST (GMT +5:30)

Master of Science in Business Analytics – FAQ

About the Program

Is the Fairfield MS in Business Analytics suitable for beginners?

Yes, Fairfield’s MS in Business Analytics is structured for beginners, with integrated prep in Python and statistics to build a strong foundation. It delivers industry-relevant skills and strategic business insight, preparing learners for high-impact roles in analytics.

You do not need prior programming knowledge to start Fairfield’s MS in Business Analytics. The program includes preparatory work in Python and statistics, ensuring all students, regardless of background, are equipped to succeed.

Fairfield’s MS in Business Analytics stands out with its AACSB-accredited curriculum, beginner-friendly design, and real-world capstone projects guided by industry-informed faculty. Unlike many generic programs, it combines technical training in tools like Python, R, and Tableau with leadership coaching and strategic business application, making graduates job-ready for high-growth analytics roles.

The Fairfield MS in Business Analytics is primarily focused on business analytics, with a strong foundation in data tools like Python and R applied specifically to solving business problems. While you will learn core programming and statistical techniques, the emphasis is on using analytics to drive decision-making, strategy, and measurable impact in areas like finance, marketing, healthcare, and operations. AI concepts are introduced where relevant, but always in a business context, not as a standalone technical track.