Master of Science in Applied Data Science
Syracuse, USA
DURATION
2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
TUITION FEES
USD 57,881 **
STUDY FORMAT
Distance Learning, On-Campus
* Priority Date: October 15
** 2024-25 specifically for students entering the on-campus program total: International applicants need to show this amount on their financials
Introduction
Use data to gain insight and solve problems in the real world.
We’re living in an age where data powers our daily lives, and organizations of all forms and sizes are using data to drive critical decision-making processes.
Gathering this data raises questions about accuracy, privacy, equality, and ethics. Analyzing it requires deep analytical and technical expertise. And using it to inform decisions requires communication and management skills.
These skills have never been in higher demand. In fact, Glassdoor has ranked data scientist as the best job for the last five years in a row. Our program prepares you for this rewarding career and is designed for students looking to gain data analytics expertise, whether you already have a background in technology or are starting a new career path.
As the data science field has grown, specialties within the subject are emerging. That’s why we’ve designed three tracks to allow you to pursue deeper study in a particular aspect of the field. Choose to delve deeper into the business applications of data science through the Data and Business Analytics track. Focus on unstructured language data with the Language Analytics Track. Or explore data collection and data engineering with the Data Pipelines and Platforms Track.
No matter which track you choose, you’ll graduate with the data science skills needed to make an impact on any industry. Complete your program in as little as one year, and see where your degree can take you.
A vibrant learning community.
Connect with leaders in the data science field, forge friendships and connections with peers in your industry, and gain a lifelong network. Life here is active in and outside of the classroom.
Delve deeper, explore farther.
In addition to getting practical, on-the-job experience, you’ll have opportunities to join a research lab or collaborate with faculty on their academic work. Your focus on data science will mean your skills will be in demand on almost any iSchool research team.
The same faculty and coursework, available online.
As leaders in technology, we’ve been teaching online for decades. Our online program combines live weekly classes, multimedia coursework, and collaborative group learning exercises with a platform to help you cultivate lifelong professional relationships with professors and alumni worldwide.
You’ll learn from the same faculty and take the same courses as the on-campus program, and enjoy the same access to the Orange network when you graduate.
Admissions
Curriculum
Curriculum
The ADS degree program is 34 credits and can be completed in as little as one year. The curriculum combines a primary core, secondary core (your data science track), and electives to give you a strong data science foundation with a focus of your choosing.
The 34 credits are distributed as follows:
- Primary Core – 18 credits
- Secondary Core – 6 credits from one track
- Choose between 3 tracks: Data and Business Analytics, Language Analytics, and Data Pipelines and Platforms.
- Elective Courses – 9 credits
- Choose any course from an additional track for 3 credits or an additional course from their own track for 3 credits.
- Exit Requirement – 1 credit
- Complete a required one-credit course in which you submit a personal portfolio of projects that demonstrate full competency of the learning outcomes to a panel of program faculty.
Program Requirements
Primary Core: 18 credits
The 18-credit primary core includes foundational knowledge in databases, data analysis and business analytics. Students will complete courses in an order which builds foundational knowledge and skills in preparation for more advanced work.
- IST 659 - Data Administration Concepts and Database Management 3 credit(s)
- IST 687 - Introduction to Data Science 3 credit(s)
- IST 707 - Applied Machine Learning 3 credit(s)
- IST 718 - Big Data Analytics 3 credit(s)
- IST 772 - Quantitative Reasoning for Data Science 3 credit(s)
- SCM 651 - Business Analytics 3 credit(s)
Secondary Core: 6 credits
Students select 6 credits from one of the tracks below.
AI
- IST 664 - Natural Language Processing 3 credit(s)
- IST 691 - Deep Learning in Practice 3 credit(s)
- IST 692 - Responsible AI 3 credit(s)
Data and Business Analytics
- ACC 652 - Accounting Analytics 3 credit(s)
- FIN 654 - Financial Analytics 3 credit(s)
- MAR 653 - Marketing Analytics 3 credit(s)
- MBC 638 - Data Analysis and Decision Making 3 credit(s)
- SCM 702 - Principles of Management Science 3 credit(s)
Data Pipelines and Platforms
- IST 652 - Scripting for Data Analysis 3 credit(s)
- IST 722 - Data Warehouse 3 credit(s)
- IST 769 - Advanced Big Data Management 3 credit(s)
Language Analytics
- IST 664 - Natural Language Processing 3 credit(s)
- IST 736 - Text Mining 3 credit(s)
Visual Analytics
- IST 719 - Information Visualization 3 credit(s)
- IST 737 - Visual Analytic Dashboards 3 credit(s)
Electives: 9 credits
Students can also choose any course from a different track for three credits, an additional course in the chosen track if available, or any course from the list below.
- IST 615 - Cloud Management 3 credit(s)
- IST 618 - Information Policy 3 credit(s)
- IST 623 - Introduction to Information Security 3 credit(s)
- IST 644 - Managing Data Science Projects 3 credit(s)
- IST 974 - Internship in Applied Data Science 3 credit(s)
- MAS 766 - Linear Statistical Models I: Regression Models 3 credit(s)
- MAS 777 - Time Series Modeling and Analysis 3 credit(s)
Exit Requirement: 1 credit
- IST 782 - Applied Data Science Portfolio 1 credit(s)
Total Credits Required: 34
Transfer Credits
6 credits in related coursework can be transferred from other universities with the approval of the Program Director.
Part-Time Study
U.S. citizens, and non-citizens with the appropriate visa and/or immigration permissions for part-time study, may pursue this program on a part-time basis.
Satisfactory Progress
Students are required to have a 3.0 grade point average or higher to maintain satisfactory progress.
Notes
On-campus courses are delivered through the traditional semester format in which students take courses in the fall and spring semesters, with optional internships in the summer. Section sizes for on-campus classes range from 20-45 students. Online courses are delivered with four (4) starts per year, where courses run for 11 weeks with required contact hours achieved through a mix of asynchronous and synchronous course interaction.
Program Outcome
Learning Outcomes
As an interdisciplinary program, the master’s in Applied Data Science provides students the opportunity to learn in a broad range of areas related to data science. Successful students in our program will be able to:
- Collect, store, and access data by identifying and leveraging applicable technologies.
- Create actionable insight across a range of contexts (e.g., societal, business, political), using data and the full data science life cycle.
- Apply visualization and predictive models to help generate actionable insight.
- Use programming languages such as R and Python to support the generation of actionable insight.
- Communicate insights gained via visualization and analytics to a broad range of audiences (including project sponsors and technical team leads.
- Apply ethics in the development, use, and evaluation of data and predictive models (e.g., fairness, bias, transparency, privacy).
Gallery
Career Opportunities
Build your expertise and your resume.
Gain the skills you need to be successful in the data science job market. We work with leading employers like Microsoft and EY to ensure our program is aligned with what they are seeking in candidates. Here, you’ll engage in research and real-world applications of your studies that will build your expertise and your resume.
- $81,753 Average starting salary of last year’s class
- #1 Careers in our field are ranked the most in-demand and lucrative
Facilities
English Language Requirements
Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!
Program Admission Requirements
Demonstrate your commitment and readiness to succeed in business school by taking the GMAT exam – the most widely used exam for admissions that measures your critical thinking and reasoning skills.
Download the GMAT mini quiz to get a flavour of the questions you’ll find in the exam.