A leading engineering school set in one of the world’s top research universities, Duke University’s Pratt School of Engineering offers distinctive master’s options that prepare engineering students to become innovators and leaders in cutting-edge fields, shaping the work sectors of tomorrow.
In general, Duke Engineering appeals to international students due to its globally respected faculty, highly entrepreneurial culture, and low cost of living in North Carolina’s Research Triangle Region–home to 250+ tech companies. The area’s top-ranked quality of life is complemented by a welcoming campus community, including a Graduate Communications and Intercultural Program and career services and professional development support specially tailored for master’s students in engineering.
At Duke Engineering, you can pursue top-quality traditional engineering disciplines for your upcoming master’s course, or opt for a future-focused degree. Created especially for contemporary career fields that will shape the next few decades of work, several of these new Duke Engineering programs are featured below:
Did you know that this FinTech Master’s program at Duke University is one of only a handful in the world based in an engineering school?
Due to high market demands, graduates with a combination of technical and financial-industry knowledge are on the rise. As such, a financial technology course that equips students with the necessary foundations of engineering is the perfect mix.
“Technologies like machine learning and blockchain are driving advances across the financial sector. With outstanding faculty from engineering, law, economics and business, the Duke Master’s in FinTech is developing professionals with the technical, financial and management skills to lead this next generation of financial innovation,” Duke FinTech Academic Director Jimmie Lenz notes.
By choosing this course, you’ll soon learn programming and software engineering tailored to FinTech, understand the key technological advances that are reshaping traditional and non-traditional financial firms, and obtain hands-on experience through a capstone project and internship.
You’ll also get the opportunity to learn from a faculty with decades of real-world financial market and FinTech experience, including experts from the Duke’s Pratt School of Engineering, the Fuqua School of Business, the Law School and the Department of Economics.
So, if you’re an engineering, computer science, physics, math, economics, business, statistics or econometrics graduate who wants to discover existing and emerging technologies in the financial workplace, this could be the course for you!
Steered by successful tech entrepreneurs, the Entrepreneurship & Founders Track in Duke’s Master of Engineering Management Program will teach you to identify problems, develop conceptual solutions, build prototypes and develop a start-up strategy.
Supported by engaging coursework and faculty members who are company founders, this hands-on program enables you to tackle the business fundamentals of marketing, management, finance and intellectual property/business law.
With exclusive knowledge in tech innovation, prototyping and startup strategies, you’ll thrive in technical electives that will strengthen your ability to innovate within an established company or in your own venture.
According to Lee Clark-Sellers, an Innovation Officer at Ply Gem Industries Inc., “A growing need within small and large corporations is to cultivate an intrapreneurial environment, and Duke’s Entrepreneurship & Founders Track provides engineers with the agility required to innovate across the enterprise.”
Plus, this program takes entrepreneurial mindsets to a new level by offering selected graduates the chance to earn a Founder’s Fellowship and US$5,000 operating capital to help launch their ventures!
As the 6th university in the US and 8th worldwide for leading AI/machine learning research, according to the NeurIPS Publication Index, Duke University and its dedicated engineering school certainly know what the future holds.
With six degree options that fall under the Data & Machine Learning Master’s programs, students can focus on applying data-driven machine learning approaches to the field and career that interests them.
These six options include both business-focused and research & development-oriented programs in Electrical & Computer Engineering, a degree focused on machine learning in Engineering Management, and data analytics concentrations tailored to Civil & Environmental Engineering, Biomedical Engineering and Risk & Resilience Engineering.
“The fundamental software skills and advanced machine learning techniques I learned at Duke are essential for my current job, especially when I’m doing work related to building ML models,” Duke graduate and Google Software Engineer Wanxin Yuan explains.
No matter what degree you choose to pursue, Duke Engineering offers both expert-led, future-focused courses and real-world experiential learning opportunities to transform learners into leaders.