Unlocking the Power of Data at Loyola
Q & A about our MS in Data Science
From business and marketing to medicine and neuroscience, the demand for capable data scientists with diverse expertise in computer science, statistics, and mathematics has never been greater. At Loyola, our MS in Data Science program provides students with the technical skillset needed to effectively manage, analyze, and communicate key findings from data in a wide range of contexts. We sat down with graduate program director Yasin Silva to learn more about the program:
What makes Loyola’s MS in Data Science program stand out from other programs in the field?
I would summarize it in four key points: we offer supportive faculty; close guidance from the graduate program director; opportunities to work closely with outstanding faculty who are active in data science research; and an interdisciplinary and responsive curriculum that covers the tools students will need in real-world scenarios. We also integrate additional data-oriented courses from other units that may be of particular interest to individual students.
How would you describe the experience and expertise of the faculty in the program?
We have a strong and research-active group of faculty members in our program that regularly teach classes and provide exciting research experiences to our students. Many of our faulty members also engage in active interdisciplinary collaborations with colleagues from other areas including the health and social sciences. Our faculty members are funded by various agencies including NSF, NIH, and NSA.
Based on your classroom experience, how are Loyola students different?
While the MSDS program is relatively new, our students come from a wide range of areas including physics, chemistry, journalism, computer science, mathematics, and statistics. They are a very active and talented group that bring diverse perspectives and areas of expertise to our classes and help and encourage each other. Many of them are also involved in our Data Science student club which organizes various talks and study-group sessions.
Upon graduation, what careers or occupations will graduates be prepared for? How does the program ensure that students are exposed to the latest technologies and methodologies in data science?
There are many data-related roles that our graduates can have, including data scientist, machine learning engineer, and data engineer. The faculty in our program do a fantastic job ensuring our classes are always relevant and cover the latest frameworks and tools used in the field. We are also in continuous communication with our students and share their feedback regarding new needed tools with the professors teaching related classes.
To learn more about Loyola’s MS in Data Science program, visit our website or contact graduate program director Yasin Silva with questions.
Q & A about our MS in Data Science
From business and marketing to medicine and neuroscience, the demand for capable data scientists with diverse expertise in computer science, statistics, and mathematics has never been greater. At Loyola, our MS in Data Science program provides students with the technical skillset needed to effectively manage, analyze, and communicate key findings from data in a wide range of contexts. We sat down with graduate program director Yasin Silva to learn more about the program:
What makes Loyola’s MS in Data Science program stand out from other programs in the field?
I would summarize it in four key points: we offer supportive faculty; close guidance from the graduate program director; opportunities to work closely with outstanding faculty who are active in data science research; and an interdisciplinary and responsive curriculum that covers the tools students will need in real-world scenarios. We also integrate additional data-oriented courses from other units that may be of particular interest to individual students.
How would you describe the experience and expertise of the faculty in the program?
We have a strong and research-active group of faculty members in our program that regularly teach classes and provide exciting research experiences to our students. Many of our faulty members also engage in active interdisciplinary collaborations with colleagues from other areas including the health and social sciences. Our faculty members are funded by various agencies including NSF, NIH, and NSA.
Based on your classroom experience, how are Loyola students different?
While the MSDS program is relatively new, our students come from a wide range of areas including physics, chemistry, journalism, computer science, mathematics, and statistics. They are a very active and talented group that bring diverse perspectives and areas of expertise to our classes and help and encourage each other. Many of them are also involved in our Data Science student club which organizes various talks and study-group sessions.
Upon graduation, what careers or occupations will graduates be prepared for? How does the program ensure that students are exposed to the latest technologies and methodologies in data science?
There are many data-related roles that our graduates can have, including data scientist, machine learning engineer, and data engineer. The faculty in our program do a fantastic job ensuring our classes are always relevant and cover the latest frameworks and tools used in the field. We are also in continuous communication with our students and share their feedback regarding new needed tools with the professors teaching related classes.
To learn more about Loyola’s MS in Data Science program, visit our website or contact graduate program director Yasin Silva with questions.