Data Analytics and Strategic Business Intelligence (M.S.)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Data Analytics and Strategic Business Intelligence (M.S.) at Long Island University, Brooklyn is designed for aspiring professionals eager to harness the power of data for informed decision-making and competitive advantage. In today's business landscape, the ability to interpret and present digital data to derive meaningful insights is paramount. This postgraduate program equips you with fundamental data-driven analytical methods, covering essential areas such as data mining, machine learning, and business intelligence. You will develop the skills to transform raw data into actionable strategies, making you an invaluable asset in industries ranging from finance and marketing to healthcare and IT.

This Master of Science program is delivered on campus, allowing for a full-time, immersive learning experience over one year. You will engage with a curriculum that balances theoretical knowledge with practical application, including core courses in Data Management, Big Data Analytics, and Applied Business Analytics. A distinctive feature is the Global Capstone Action Learning Internship, where you will apply classroom knowledge to real-world data analytics challenges, gaining hands-on experience. Upon graduation, you will be prepared to pursue diverse career paths in data science, business analysis, and strategic consulting, armed with applied knowledge and interdisciplinary understandings.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science program equips students with the skills to leverage data for strategic business decisions. The curriculum covers foundational statistical concepts, introduces programming languages like R and Python for data science, and delves into data management, mining, and advanced analytics techniques including machine learning and deep learning. Students will also engage in applied analytics through a seminar and complete their studies with a capstone action learning internship, with opportunities to specialize through elective courses in areas such as fintech, time series modeling, and data visualization.

1 Foundation course

Business statistics Compulsory

2 Core courses

Introduction to data science with R and Python Compulsory
Data management and mining Compulsory
Data-driven decision-making and business intelligence Compulsory
Big data analytics and machine learning Compulsory
Deep learning Compulsory

3 Seminar course

Applied business analytics Compulsory

4 Capstone course

Global capstone action learning internship Compulsory

5 Electives

Introduction to fintech Elective
Time series modeling and forecasting Elective
Data visualization Elective

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 43,000.00
Total Program Cost Estimated total tuition
USD 43,000.00

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

Living Costs

Accommodation
USD 940.00 - USD 3,289.00
Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Brooklyn Campus.

Outcomes & Employability

What happens after you graduate

76%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Data Science & AnalyticsDevOps & Site Reliability EngineeringHome Health & Long‑Term CareIT Support & Systems AdministrationInsurance & Risk ManagementMental Health & CounselingPhotojournalism & Visual MediaPublic Broadcasting & DocumentaryQuality Assurance & TestingTelecom Software & Systems

Top Employers Hiring for this course

Amazon Web Services

Citi

Cognizant

JPMorganChase

Meta

Microsoft

Walmart

Wells Fargo

Why Study Data Analytics and Strategic Business Intelligence (M.S.) at Long Island University, Brooklyn

What makes this program stand out

Very Fast Application response time

Long Island University, Brooklyn typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Long Island University, Brooklyn 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 Data Analytics and Strategic Business Intelligence (M.S.) at Long Island University, Brooklyn

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. Campus work doesn't need special permits, while off-campus work requires university approval after the first year.

What English language score do I need for this course?

Applicants must demonstrate proficiency in English, with specific requirements based on different tests. For example, a Duolingo score requires at least 105 across all sections.

What jobs can I get after studying this course?

Graduates can pursue careers as data analysts, business analysts, data scientists, or strategic consultants.

What will I actually study in this course?

The Data Analytics and Strategic Business Intelligence (M.S.) at Long Island University, Brooklyn is designed for aspiring professionals eager to harness the power of data for informed decision-making and competitive advantage. In today's business landscape, the ability to interpret and present digital data to derive meaningful insights is paramount. This postgraduate program equips you with fundamental data-driven analytical methods, covering essential areas such as data mining, machine

When can I start — what are the intake months?

The next intake for the Data Analytics and Strategic Business Intelligence (M.S.) program is in September. Make sure to apply ahead of this date to secure your spot.
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