Your graduate coursework immediately moves you beyond basic spreadsheets and entry-level scripting. You will transition from simply querying database tables to designing scalable, enterprise-grade data warehouse solutions. By mastering distributed storage systems, complex ETL/ELT pipelines, and advanced database indexing, you will build the rigorous technical authority needed to manage and orchestrate immense data pipelines across high-demand business domains.
Program Overview
The Master of Science in Big Data Analytics delivers the rigorous technical expertise needed to design and manage complex, large-scale data architectures. Moving beyond foundational database management, the curriculum immerses students in advanced predictive modeling, massive data processing pipelines, and cutting-edge paradigms like machine learning. Graduates emerge fully prepared to spearhead enterprise data initiatives, drive analytical innovation, and confidently lead specialized data science teams.
Duration
2 Years
Flexible Schedule
Format ⓘ
Flexible
On-Campus
P-Hybrid
Credits
36
Total credit hours
Transfer Credit
Up to 9
From accredited institutions
Average Class Size
18
Students per class
Your Journey Starts Here
Making sense of massive datasets requires more than basic statistical analysis; it demands the architectural vision to capture, process, and translate raw data into strategic enterprise decisions. Located in the heart of Washington, D.C., our master’s program connects ambitious data professionals with elite private and public sector data scientists. This rigorous academic track is purpose-built to elevate your analytical problem-solving, expand your technical network, and prepare you to lead complex data initiatives from extraction to executive visualization.
01
FROM ANALYST TO DATA ARCHITECT
02
APPLIED ANALYTICS AND RESEARCH
Experiential learning at the graduate level means solving genuine, high-scale algorithmic bottlenecks. Leveraging our proximity to national tech hubs and federal agencies, you will step beyond static datasets to analyze live, complex information flows. Utilizing the high-performance computing resources of our Cyber Edge Innovation Hub (CEIH) Lab, you will tackle real-world predictive modeling challenges, participate in competitive data hackathons, and demonstrate your insights at major industry events like BAU Innovate and DevFest 2026.
03
LEADING DATA-DRIVEN STRATEGY
Transitioning into executive tech roles requires the technical confidence to oversee massive data infrastructure and advise on core business strategy. Through your intensive graduate capstone projects, you will own the end-to-end implementation of sophisticated business intelligence pipelines, transforming chaotic, unstructured data into crystal-clear predictive insights. You will graduate backed by an elite international network, fully prepared to command the modern data landscape as a Lead Data Engineer, Analytics Architect, or Chief Data Officer (CDO).
Your Dream Career Awaits
At BAU, internship programs play a crucial role in linking data theory and enterprise practice. These experiences allow students to work with peers to develop critical analytical skills, enhance technical communication, and solve complex big data architecture and predictive modeling challenges. With the introduction of the Cyber Edge Innovation Hub, students will have the opportunity to acquire powerful computing resources, work with data science experts through mentorship, and leverage experiential learning to launch their own data-driven tech ventures.
$112,590
2024 Median Pay*, Data Scientists
$123,100
2024 Median Pay*, Database Administrators and Architects
Other Career Opportunities: Senior Data Engineer • Chief Data Officer (CDO) • Lead Data Scientist • Big Data Architect • Analytics Product Manager • Data Solutions Engineer • Principal Data Analyst
*Source: U.S. Bureau of Labor Statistics.
Explore Career ServicesTake the First Step
Program Curriculum
Comprehensive curriculum designed for real-world data analytics challenges
36+
Credit Hours
40+
Courses
Tuition & Financial Aid
A great education shouldn’t mean a lifetime of debt.
Get a transparent, personalized estimate of your total cost, including tuition, fees, housing, and more, so you can plan with confidence.
Financial Aid Options
Check out here for more scholarship & tuition assistance programs
Tuition Assistance
Up to $30,000
DMV Tuition Assistance
Up to 60%
Payment Plans
0% interest
Application Deadlines
Rolling admissions with multiple intake periods throughout the year. Domestic and transfer applications may continue to be reviewed after these deadlines on a rolling basis, subject to program availability. New students must complete registration by the census date for the applicable term; otherwise, they will not be eligible to register.
Open
Fall 2026
Start Date
August 24, 2026
Deadline to Apply
July 1, 2026
Coming Soon
Spring 2027
Start Date
January 19, 2027
Deadline to Apply
December 1, 2026
Future
Summer 2027
Start Date
June 1, 2027
Deadline to Apply
April 1, 2027
Real Students. Real Success.
SARAH AHMED
"BAU's Big Data Masters program offers growth and adaptability. The university's global perspective and DC's culture create a supportive and fulfilling learning environment.”
Meet Your Program Chair
In this highly connected world, technology leaders must think innovatively and act responsibly. Our faculty incorporates critical topics such as intelligent systems design, secure network architectures, and global data strategies, preparing students to make technical decisions aiming not only toward optimal system performance but also to make a positive, lasting impact on the digital environment and society.
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
TAKE THE FIRST STEP TOWARDS CRAFTING YOUR STORY!
Contact Our Admissions
Officers Today!
- Personalized Guidance
Our admission officers guide you to the right programs. - Timely Responses
Swift and informative communication for a stress-free admission journey. - Exclusive Insights
Access exclusive updates, events, and opportunities at BAU.
