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Arizona State University

Arizona, USA

MSc in Data Science And Analytics

3X your Admission Chances

Data Science & Big Data

Specialization

1 year (full time)

Duration

$55,488 overall

Tuition Fee

fall, spring

Intake

Table of Contents

Eligibility Requirements Class Profile Program Description Program Curriculum Application Documents Scholarships

Eligibility Requirements for ASU MSc in Data Science And Analytics

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in the last 60 hours of their first bachelor’s degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program.
Application fee — $70 for domestic students; $115 for international students
GMAT or GRE test scores
Essay Questions
Official transcripts

ASU MSc in Data Science And Analytics Class Profile

228

Class Size

Avg. Student Age

ASU MSc in Data Science And Analytics Program Description

The Unit for Data Science is a hub for research collaborations and student mentorship. It is a one-of-a-kind resource at ASU Library that connects students, faculty, and staff from all university-wide disciplines. By working with us, students and faculty alike have grown their knowledge of data science and increased its impact on their work. By collaborating and mentoring, the Unit for Data Science pursues data science research that engages machine learning, data analytics, visual storytelling, network analysis, and text and data mining. Training opportunities include many ways to get involved and learn about data science through project collaboration, a free online Canvas course, a Podcast, and attending our Workshops and Open labs.

Program URL:https://wpcarey.asu.edu/masters-programs/business-analytics

ASU MSc in Data Science And Analytics Program Curriculum

Data Processing at Scale
Distributed Data Systems
Multimedia and Web Databases
Cloud Computing
Advanced Computer Network Security
Combinatorial Algorithms and Intractability
Foundations of Algorithms
Randomized and Approximation Algorithms
Theory of Computation
Game Theory with Applications to Networks
Modeling and Simulation Theory and Application
Software Verification, Validation, and Testing
Fundamentals of Statistical Learning and Pattern Recognition
Artificial Intelligence
Semantic Web Mining
Planning and Learning Methods in AI
Statistical Machine Learning
Topics in Natural Language Processing
Data Visualization
Knowledge Representation and Reasoning
Algorithms in Computational Biology
Web-Enabled Decision Support Systems
Analysis of Decision Processes
Introduction to Financial Engineering
Urban Operations Research
Operations Research in Healthcare
Advanced Simulating Stochastic Systems
Advanced Quality Control
Design Engineering Experiments
Reliability Engineering
Applied Deterministic Operations Research
Applied Stochastic Operations Research Models
Data Science for Systems Informatics
Regression Analysis
Time Series Analysis/Forecasting
Response Surfaces/Process Optimization
Foundations of Information Systems Engineering
Optimization I
Optimization II
Probability and Stochastic Processes
Adv Topics-Experimental Design
Bayesian Statistics
Theory of Statistical Linear Models
Applied Regression Analysis
Applied Nonparametric Statistics
Applied Multivariate Analysis
Computational Statistics
Causal Inference
Machine Learning / Statistical Learning
Time Series
Advanced Design of Experiment
Applied Linear Algebra
Optimization
High-Performance Computing
Fourier Analysis and Wavelets
Information Theory
Wireless Communications
Filtering of Stochastic Processes
Security and Privacy in Networked Systems
Machine Learning and Data Science: Theory to Practice
Statistical Machine Learning from Foundations to Algorithm
Special Topics in Machine Learning
Distributed and Large Scale Optimization
Remote Sensing and Adaptive Radar
Introduction to Complex Networks and Machine Learning
Speech and Audio Processing and Perception
Machine Learning for Smart Grid
Neuromorphic Hardware Design

Electives

Data Processing at Scale
Distributed Data Systems
Multimedia and Web Databases
Cloud Computing
Advanced Computer Network Security
Combinatorial Algorithms and Intractability
Foundations of Algorithms
Randomized and Approximation Algorithms
Theory of Computation
Game Theory with Applications to Networks
Modeling and Simulation Theory and Application
Software Verification, Validation, and Testing
Fundamentals of Statistical Learning and Pattern Recognition
Artificial Intelligence
Semantic Web Mining
Planning and Learning Methods in AI
Statistical Machine Learning
Topics in Natural Language Processing
Data Visualization
Knowledge Representation and Reasoning
Algorithms in Computational Biology
Web-Enabled Decision Support Systems
Analysis of Decision Processes
Introduction to Financial Engineering
Urban Operations Research
Operations Research in Healthcare
Advanced Simulating Stochastic Systems
Advanced Quality Control
Design Engineering Experiments
Reliability Engineering
Applied Deterministic Operations Research
Applied Stochastic Operations Research Models
Data Science for Systems Informatics
Regression Analysis
Time Series Analysis/Forecasting
Response Surfaces/Process Optimization
Foundations of Information Systems Engineering
Optimization I
Optimization II
Probability and Stochastic Processes
Adv Topics-Experimental Design
Bayesian Statistics
Theory of Statistical Linear Models
Applied Regression Analysis
Applied Nonparametric Statistics
Applied Multivariate Analysis
Computational Statistics
Causal Inference
Machine Learning / Statistical Learning
Time Series
Advanced Design of Experiment
Applied Linear Algebra
Optimization
High-Performance Computing
Fourier Analysis and Wavelets
Information Theory
Wireless Communications
Filtering of Stochastic Processes
Security and Privacy in Networked Systems
Machine Learning and Data Science: Theory to Practice
Statistical Machine Learning from Foundations to Algorithm
Special Topics in Machine Learning
Distributed and Large Scale Optimization
Remote Sensing and Adaptive Radar
Introduction to Complex Networks and Machine Learning
Speech and Audio Processing and Perception
Machine Learning for Smart Grid
Neuromorphic Hardware Design

Core Courses

Statistical Learning for Data Mining or Data Mining
Mathematical Statistics or Theory of Statistics II: Inference
Database Management System Implementation
Information Assurance and Security

Application Documents for ASU MSc in Data Science And Analytics

Mandatory Application Documents

Passport
10th Marksheet
12th Marksheet
College Transcript
Semester Marksheets
Consolidated Marksheets
Graduation/Provisional Certificate
IELTS/TOEFL/DTE/PTE

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Scholarships available for International Students

The average annual cost of study, including tuition fees and living expenses is around USD$35,000 per year. However, this can rise dramatically as your day-to-day living expenses will vary depending on what state or city you live in.Below are some scholarships you can avail to reduce your study abroad expenses drastically.

The Global Study Awards
The Global Study Awards is a competition for successful IELTS test takers who have shown exceptional promise. You can enter the competition if you plan to use your IELTS results to apply for an undergraduate or postgraduate degree in an English-speaking country.
Gary Saitowitz Scholarship
Gary Saitowitz founded the Gary Saitowitz Scholarship with the objective of assisting one deserving student in reducing the stress and also the overall financial burden of costly higher education.
Form Swift Scholarships Program
The scholarship program is for driven, up-and-coming, entrepreneurs who are ready to commit to building a better world through their business ideas.

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