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Build Your Future in the AI Industry with Northeastern’s MPS in Applied Machine Intelligence Program
The MPS in Applied Machine Intelligence at Northeastern University is an advanced degree program for practitioners and scholars who want to enhance their knowledge in the field of AI and machine learning. The curriculum combines technical knowledge and incorporates problem-solving elements to provide information on machine learning, deep learning, data analysis, and others. Real-life industry projects and internships provide practical knowledge students need for careers in various sectors ranging from healthcare to finance and technology. Learn more about the MPS in Applied Machine Intelligence now and prepare yourself for advanced AI opportunities.
A Master’s in Applied Machine Intelligence provides you with advanced skills in the practice of AI and machine learning for future professional opportunities in the emerging sector. Here are the key benefits of pursuing this degree:
Industry-Relevant Curriculum: Take advantage of a syllabus developed with the input of expert partners in the industry.
Hands-On Experience: Offer project-based experiences and internships, which will provide practical experience and networking in the field of technology.
Expert Faculty: Benefit from lectures delivered by instructors who are experts in the domain of machine intelligence and gain practical knowledge, advice, and recommendations from your professors at the school.
Strong Career Support: Effective career services, such as resume-building workshops, mock interviews, and appropriate employment referrals, are actively offered to ensure students effectively transition from the academic to the professional sector.
Eligibility: To get admission, students need a cumulative GPA of 3.0 or higher in the Advanced Certificate Program in Data Science. Additionally, the applicant must have a least GPA of 3.0 in each course.
Entrance Exams: For English skills, you must have one of the following:TOEFL iBT score of 79 or higher, with at least 20 in writing, IELTS score >= 6.5 with no band lower than 6, A score of 53 and above in PTE, .Duolingo score of 105 and above.
Interested individuals must not worry and follow these steps chronologically. Admission to this online MBA course is a fairly straight-forward procedure. To apply for this course, it is a simple process.
Fill out the application form along with the processing fee.
Academic documents, identification documents, employment experience.
The college will then authenticate your documents, mobile number, email ID.
Fees can be paid in a lump sum, annually, semester-wise, or even through EMIs.
Assignment material & resources will be given to you.
Interested individuals must not worry and follow these steps chronologically. Admission to this online MBA course is a fairly straight-forward procedure. To apply for this course, it is a simple process.
Academic Documents
Government ID proof
Work Experience
Passport size photographs
Selecting an MPS in Applied Machine Intelligence course can be a transformational decision in your field, which is growing at an incredibly fast pace. Here are some of the reasons:
Acquire competencies that are sought after by employers in various organizations. It also improves your prospects of securing your dream job and career advancement.
Develop real-world knowledge of advanced machine learning methods and Artificial Intelligence tools so that you stand out as a candidate in a highly saturated market.
Acquire knowledge in advanced ML approaches and different AI tools to increase your competitiveness in the labour market.
Studied from a syllabus that is intended to solve everyday problems by introducing you to the practical use of artificial intelligence and machine learning
Checkout the complete syllabus details for the MPS in Applied Machine Intelligence:
| Required Course |
|---|
| Data Management and Big Data |
| Fundamentals of Artificial Intelligence |
| Applications of Artificial Intelligence |
| AI System Technologies |
| Usability and Human Interaction |
| Experiential Network and Capstone |
| Concentrations |
| Electives |
| Predictive Analytics |
| Analytics Systems Technology |
The MPS in Applied Machine Intelligence provides the opportunity to enter this developing and vast field of work. Here are key career opportunities for graduates:
| Job Roles | Job Description |
|---|---|
| Machine Learning Engineering | A Machine Learning Engineer will create and implement ML systems that process data and enhance their performance through adjustments. Your skills will be useful in advising businesses to streamline their operations. Also helps in enhancing decision-making and embracing change. |
| Data Scientist | In this position, you will be expected to analyse large data sets with the aim of identifying value additions for strategic purposes. You will turn data into valuable insights for various processes, starting with product creation and ending with customer communication. |
| AI Product Manager | An AI Product Manager is expected to translate technical decisions into business values and vice versa. You will determine the direction of the product, the order of features, and whether the AI solutions are adequate for the company’s needs |
| Business Intelligence Analyst | In this position, you will use machine learning and artificial intelligence to assess business outcomes, patterns, and action plans. Your knowledge will enable the organisations to make informed decisions based on facts. |
| Job Roles | Average Annual Salary |
|---|---|
| Machine Learning Engineering | INR 11.5 LPA |
| Data Scientist | INR 13.3 LPA |
| AI Product Manager | INR 25 LPA |
| Business Intelligence Analyst | INR 7.8 LPA |
| Course Name: | On Campus MPS in Applied Machine Intelligence |
| Type: | Master’s Programme |
| Duration: | 15 Months |
| Mode of Learning: | On-Campus |
| Fee Structure: | The average range of the fees is approx. 30,00,000 |
| Average Salary: | 10 - 15 Lakhs, Depending on the profile |
| Employment Roles: | Business Data AnalystsMachine Learning EngineeringData ScientistMarketing Data AnalystData Engineer |
| Examination Method: | Offline |
