Long Island University United States

MS Data Analytics & Strategic Business Intelligence

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Masters of Science in Data Analytics & Strategic Business Intelligence at Long Island University is engineered for ambitious professionals seeking to master the art and science of transforming raw data into actionable business insights. In today's data-driven economy, organisations across all sectors rely on sophisticated analytical techniques to navigate complex challenges and uncover strategic opportunities. This postgraduate programme is designed for individuals who possess a foundational understanding of quantitative reasoning and IT, and who are eager to leverage advanced methodologies such as machine learning, data visualization, and database management to drive informed decision-making and achieve impactful business outcomes.

You will engage in a rigorous, full-time, on-campus learning experience over two years, delving into core data analytics courses including programming in Python and R, multivariate studies, and data ethics, alongside essential business intelligence subjects. The curriculum is structured to provide hands-on experience, culminating in a significant senior capstone project where you will apply your acquired skills to solve real-world problems. You will also have the flexibility to choose electives from various disciplines, including AI, finance, and economics, allowing you to tailor your studies. Upon graduation, you will be prepared to pursue advanced roles in data science, business analytics, and strategic consulting.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science program in Data Analytics and Strategic Business Intelligence equips students with essential skills for data-driven decision-making. The curriculum covers programming in Python and R, database management, data visualization, and advanced topics like machine learning and deep learning. Students will also explore the ethical considerations of data analytics and gain foundational knowledge in areas such as artificial intelligence and financial technology. The program culminates in a senior capstone project, allowing students to apply their learned expertise to real-world challenges.

1 Required Data Analytics Courses (48 Credits )

Programming in Python
Data Analytics using Excel
Data Analytics with R and Python
Multivariate and Advanced Studies
Database Management
Data Structures and Algorithms
Data Visualization
Data Analytics Ethics
Intro to Fintech
Intro to Artificial Intelligence
Data Mining and Business Intelligence
Computational Genomics
Machine Learning
Deep Learning
Introduction to Modern Cryptography
Senior Capstone Project

2 Required Electives (12 Credits)

3 Liberal Arts and Sciences Electives (28 Credits)

Applied Linear Algebra
Foundations of Statistical Analysis

4 Required Core Courses (32 Credits)

Post Foundations
First-Year Seminar
Writing 1
Writing 2
Quantitative Reasoning

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 26,514.00
Second Year Fee Tuition fee
USD 26,514.00
Total Program Cost Estimated total tuition
USD 53,028.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,894.00 - USD 7,400.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Long Island University Post Campus.

Outcomes & Employability

What happens after you graduate

87%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingBanking & Financial ServicesBroadband & Internet ServicesCybersecurity & Network SecurityEconomic Research & PolicyProduct Management & UXQuality Assurance & TestingRoad Transport & LogisticsSoftware Development & EngineeringWireless & Mobile Communications

Top Employers Hiring for this course

AT&T

Amazon

Citi

EY

J.P Morgan Chase Co.

Why Study MS Data Analytics & Strategic Business Intelligence at Long Island University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at Long Island University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MS Data Analytics & Strategic Business Intelligence at Long Island University

Can I work while studying?

International students can work up to 20 hours per week during the semester and full-time during breaks. On-campus jobs are permitted without additional approvals.

What English language score do I need for this course?

Applicants must demonstrate English proficiency through tests like Duolingo, TOEFL, IELTS, or PTE, with specific score requirements for each. Make sure you meet these criteria for a successful application.

What jobs can I get after studying this course?

Graduates may pursue careers as Data Analysts, Business Intelligence Analysts, Data Scientists, or IT Managers.

What will I actually study in this course?

The MDA program combines data science, IT, and business courses to prepare you for roles as data-literate managers and analysts. It is aimed at both recent graduates and working professionals looking to enhance their skills.

When can I start — what are the intake months?

The MS Data Analytics program accepts students for intake in January and September each year. Ensure you apply early to secure your spot.
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