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Specialization in Machine Learning
If you’re interested in helping machines learn more effectively so they can better perform tasks each day, pursuing a Master of Data Science with a Specialization in Machine Learning online through Rice University can help pave the way to career success in this emerging discipline. In the specialization in Machine Learning, you’ll combine your knowledge of computer science with machine learning and artificial intelligence skills to position yourself as an expert in one of the most essential and rapidly growing fields in the computer industry.
Within this concentration, you’ll develop the skills needed to further improve machine learning and AI without having to focus solely on classes required to complete a more narrow master’s in machine learning. This online program is a great fit for those who want to:
- Solve the most relevant and complex problems
- Pursue careers in this high-demand tech field
- Contribute to exciting industry innovation
Machine learning and data science are part and parcel of the data science program. Here’s what you can expect if you specialize in this disruptive discipline.
Career Outlook for Machine Learning Specialization
Rice University is in Houston, TX -- the nexus of innovation in many industries including medicine, healthcare, energy and professional services. These industries all require skilled data scientists with machine learning expertise to help them harness the power of data in order to be more successful and profitable.
The need for data scientists with a machine learning background is on the rise. By 2024, demand for machine learning experts is expected to grow by more than 40%, according to Forbes. That means those with skills in data science and machine learning will likely be able to find a job quickly. And with the average salary hitting close to $113,000 per year, this field is particularly lucrative.
What Will I Learn From the Machine Learning Specialization?
By enrolling in the Online Master of Data Science program at Rice and specializing in machine learning, you’ll hone your technical skills and gain experience in using machine learning to aid in tasks including data visualization, pattern classification and more. Your machine learning specialization includes applied exercises in using data to optimize marketing strategies and measure success as well as improving finance and investment strategies and risk management decision-making.
Specialization in Machine Learning Courses
In addition to the specialized curriculum and well-recognized, qualified faculty, Online MDS@Rice students have a number of resources at their disposal to enrich their education, their learning experience, and better equip them with the leadership skills necessary to excel in their chosen career path.
Statistical Machine Learning
Introduction to how statistics can be used for machine learning and subsequent data analysis.
Algorithms for Machine Learning
Introduction to the machine learning algorithms commonly used to analyze data.
Introduction to the way marketing communicates value to customers and how machine learning assists in creating higher quality components and strategies that drive consumer interaction.
Introduction to the way that machine learning is used to improve investment strategies, risk management tactics, and enhance business decision-making procedures.
Applied Machine Learning and Data Science Capstone
A semester-long data science research or analysis project designed to give you hands-on experience applying the knowledge and concepts from your machine learning coursework and within the master’s in data science.
FAQs: Machine Learning Specialization
- What is Machine Learning?
Machine learning is the process of teaching computers and AI-enabled machines to learn more effectively and more quickly. It encourages machines to identify solutions to problems in a more natural way to better aid the people using specific programs or trying to accomplish certain tasks.
- How does machine learning relate to AI?
Machine learning is a subset of artificial intelligence. Machine learning refers to a machine’s ability to process information and learn new data effectively. AI refers to the machine’s ability to analyze that data, put it to use and improve upon processes on its own, without the direct supervision or intervention of human programmers.
- What jobs are available to students studying machine learning?
With a concentration in machine learning, Data Science graduate students are able to apply their skills in many different industries in careers that include:
- Software engineering
- Software development
- Machine learning design
- Data science
- Computational linguistics
- Business intelligence development
No matter your interests or location, you’ll be able to find a career path that puts your skills and training to use, while allowing you to follow your passions and make a difference in the broader tech industry and society.
- Is a specialization in Machine Learning worth it?
With the way technology is advancing, specializing in machine learning is an effective way to enhance your skills and set yourself up for a successful and in-demand career. Remember, concentrating on machine learning won’t limit your job opportunities to only those focused on machine learning implementation. Instead, it will make you a highly-qualified data scientist.
INNOVATION STARTS HERE
If you’re interested in pursuing a master’s degree in data science with a specialization in machine learning, now is the perfect time to get started. Apply today and get the training you need to pursue the career of your dreams.