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Analytical methods track
Customize your MS-FIN degree and build skills and expertise in analytical methods by choosing to add a third semester. The analytical methods track requires two additional core courses and two electives on top of the corporate finance and investments curriculum, and also delivers a summer internship opportunity for all students.
The evolution of financial management requires practitioners and leaders in the field to deepen their understanding of complex analytical and quantitative methods that have become industry standards. By choosing the analytical methods track at W. P. Carey, you will be uniquely prepared for the future of financial management.
At a glance
16-month program
45 credit hours
Personal career support
Program cost
MS-FIN (Analytical methods)
Estimated tuition and fees
Resident
$56,871
Nonresident
$87,834
International
$91,770
W. P. Carey Career Services Center
The ASU MS-FIN not only prepares you in the classroom, but with the analytical methods track, you can pursue a summer internship opportunity — for course credit — and gain focused career preparation in:
- Goal setting and action planning
- Your personal narrative and interviewing preparation
- Managing executive presence
- Navigating decision-making for a full-time offer
Career paths and outcomes
41,000
new financial analyst jobs
projected each year through 2030
Bureau of Labor Statistics, 2022
No. 13
Best business jobs
Based on median salary, job growth, employment levels, and work-life balance
U.S. News & World Report, 2022
A financial analyst career can open doors to a variety of job titles, including:
- Financial consultant
- Financial data analyst
- Financial intelligence analyst
- Financial risk analyst
- Quantitative portfolio manager
Analytical methods courses
To supplement the corporate finance and investments track curriculum, the MS-FIN analytical methods track offers advanced coursework in Python, blockchain, and other critical areas that integrate finance and analytics.
Provides a foundation in programming fundamentals, the skills to combine and manipulate structured and unstructured data, and the ability to summarize, visualize, and draw insights from the data. This course may be waived with demonstrated Python proficiency.
Focuses on a system designed to help students take an active role in their career development through self-reflection, skills and values assessment, market research and identifying potential roadblocks to obtaining an internship or full-time role after graduation. Also introduces the concept of a personal narrative and provides experiential learning opportunities to refine their own personal narrative and understand how to fine-tune and tailor it for a variety of career applications.
Ensuring the foundational understanding of contextualized analytics within the business enterprise continuum by covering how data flows and is managed across the landscape of enterprise business processes.
Charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.
A small class emphasizing discussion, presentations by students, and written research papers.
The design of insightful business data visualizations and dashboards to improve business decision making. Applies advanced data visualization techniques to make sense of large data sets including temporal, geospatial, topical and business data while also making it easier to digest, present and utilize for business needs and users.
Corporate finance and investments track
While the analytical methods track delivers excellent return on investment through an internship opportunity and additional coursework, the corporate finance and investments track delivers a rigorous finance curriculum — without adding an extra semester to your degree.
Explore the corporate finance and investments track