Data & Methods Concentration

(Applied Data Science)

Elective Courses

Advanced Analytics 1 (Intro to Neural Networks)
Big Data Analytics for Business
Advanced Analytics 2 (Applied Optimization)
Tools for Data Science

What is the Data & Methods (Applied Data Science) concentration?

Students in this concentration learn a multidisciplinary field that applies data analysis methods and models to real-world problems to generate insights and support decision-making.

MSBA students learn a range of skills including:

Neural Networks
Machine Learning (Supervised & Unsupervised)
Applied Data Optimization
Big Data Concepts & Usage
And much more…

MSBA Students in Data & Methods

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MSBA students are prepared for a variety of applied data science careers. See below to learn more about current and former students in the data & methods concentration.

Amber Wu - MSBA Alumni

Data Scientist @ Apple

LinkedIn Profile

Other MSBA Alumni Working in Applied Data Science Careers

Select link in their position to view LinkedIn profiles!

Aash Gohil - Data Science Associate @ Amazon

Ruchika Venkat - VP of Lead Data Scientist @ Citi

Sherry Zuo - Data/AI Engineer @ Assette

Siyu Liu - Manager Analytics Engineer @ Spotter

Geech Huot - Data Engineer Specialist @ Havas Media

Meet current students concentrating in Data & Methods

Click HERE and look for profiles with the #data&methods hashtag

Call to Action

Reach out to MSBA Director of Industry Relations, Ashley Mahanama, for more information

Mentor/Teach

Guest lecture in a class
Provide career guidance, i.e., mock interviews or resume feedback

Offer an action learning experience

Capstone project
Hackathon project
Internship or co-op

Recruit

Host an in-person or virtual employer spotlight
Attend our analytics career fair
Share JDs and receive selected strong fit resumes

Mohannad Elhamod

Concentration Coordinator

Professor Elhamod teaches courses like Neural Networks, Unsupervised Learning, and Gen-AI (with LLMs), while currently coordinating the Data & Methods Concentration for MSBA. He has his PhD in Computer Science and was a software developer at Microsoft.

Teaching Faculty

Select names to view LinkedIn profiles:

Mohannad Elhamod - Advanced Analytics 1 (Intro to Neural Networks)
Mohammad Soltanieh-ha - Big Data Analytics for Business
Fang Wan - Advanced Analytics 2 (Applied Optimization)
Ziba Cranmer - Tools for Data Science

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