Master of Science in Chemistry (STEM)

at Kaplan Group - Arizona State University - Tempe Campus USA

The MA program in museum studies examines how museums produce and reflect culture and examines the role museums play worldwide. Students develop theoretical questions and applied skills that engage the functions, practices and critical analyses of museums. They also gain practical experience while being encouraged to challenge preconceived notions about museums and the way museums affect and are affected by societies and cultures. Designed to be use-inspired, socially embedded and transcultural, the program ensures that students understand the meaning and significance of museums in contemporary society and prepares them for diverse museum careers.

The MA in social and cultural pedagogy is a two-year program designed for educators with professional experience who seek to develop real-world skills and practical knowledge to help them accomplish specific career goals.

After being equipped with philosophical, theoretical and practical knowledge on social pedagogy, students are able to analyze social structures and cultural dynamics, and work with communities to address complex societal problems through the design, implementation and evaluation of socio-educational strategies.

Students have the opportunity to create an individualized path of study that accommodates their personal interests and career goals. Students can also join a vibrant university club (Social and Cultural Pedagogy Graduate Organization), a national organization of scholars and practitioners (Social Pedagogy Association) and an international organization (Global Alliance for Social Pedagogy and Social Education).

The BA in English with a concentration in secondary education focuses on rigorous content in literature, composition, linguistics and secondary teaching pedagogy. This program provides extensive preparation for meeting the needs of all student populations, including attention to levels of academic performance and cultural and linguistic diversity.

Students finish the program with Arizona Department of Education certification for middle and high school English language arts. Both a fingerprint clearance and a background check are required in the second year of the program.

The BS program in business data analytics prepares business students with the requisite knowledge, skills and experience to create and manage big data initiatives as well as associated business processes to facilitate large-scale business data analytics in organizations.

Students learn organizational and technical competencies to implement data gathering, cleansing, integration and modeling tasks as well as data asset analysis for business applications. The program covers data warehousing, dimensional modeling, big data analytics methods and visualization tools and techniques, and it introduces topics such as data mining and predictive analytics.

The MAS in geographic information systems is a compact, one-year degree program fostering advanced study in the management and use of GIS technology in public and corporate environments. The degree program meets important educational needs of working professionals and recent college graduates seeking to improve their career standing. The program provides a comprehensive professional program that balances work in the theoretical and technical aspects of GIS with the applications domain. Students are exposed to innovative technology with a focus on building invaluable problem-solving skills, and the opportunity to work on real-world GIS projects.

The program places the focus on location --- the heart of geography and GIS. From that foundation, students learn advanced modeling solutions in GIS and Earth-observing as well as how to integrate computer science, statistics and geography to address a multitude of questions.

Small class sizes ensure quality attention from the faculty, and classes are held in the evening during the week, allowing flexibility for the working professional. The degree is achievable in a one-year time period. A new cohort begins the program each August, with students attending evening classes during the fall and spring semesters. Upon completion of the spring semester, students select a project to complete during a summer eight-week session. Final presentations take place in mid-July, and in fewer than 11 months the degree program is complete.

The concentration in computational mechanics under the BSE program in mechanical engineering teaches students the modern computational tools available for solving large-scale and complex technical problems. The curriculum focuses on high-performance computing and the accurate modeling of large and small scale systems.

The BFA program in art with a concentration in art education involves creative teaching and learning processes and strategies, first-hand experience teaching art for a range of ages, the study of art history and global cultures, and practice in a variety of studio areas.

The program focuses on engaging with artistic inquiry and education in K-12, community and museum settings. Students investigate issues related to teaching art from multiple perspectives, including:

• Creativity and critical thinking
• Ecological connections
• Inquiry-based learning
• Interdisciplinary curriculum development
• Multicultural contexts
• Studio and conceptual art practices

In addition to their art education coursework, students are required to take coursework in the various studio areas offered in the School of Art. Students declare their Bachelor of Fine Arts concentration at the time of their ASU admission. Following admission, if students wish to change their concentration, they may meet with their School of Art academic advisor.

You can develop the next generation of intelligent robots. Learn how through knowledge you gain in robotics, artificial intelligence, autonomy, control systems, machine learning, human-machine interaction, among other fields.

The artificial intelligence concentration is one of four concentrations in the multidisciplinary MS program in robotics and autonomous systems, which emphasizes robotics, controls, autonomous systems, artificial intelligence and related fields. This concentration is appropriate for students who wish to emphasize applications in artificial intelligence and computer science.

Students receive a solid theoretical and practical background in a variety of topics that facilitate the study of intelligent agents, that is any robotic system that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Thus, students in this concentration are exposed to the frontiers of the general topics in AI, including statistical machine learning, computer vision, natural language processing, knowledge retrieval and reasoning, and formal methods of planning. When compared to the other concentrations, the AI concentration focuses more on the algorithmic aspects of robotics.

This concentration program is offered by the School of Computing and Augmented Intelligence.

The W. P. Carey BS program in management prepares students to become effective managers and team leaders. Students gain theoretical and conceptual knowledge and build critical skills such as:

• Analytical research and problem-solving
• Communication
• Critical thinking
• Global applications
• Leadership
• Personal ethics and integrity
• Teamwork

The curriculum includes the fundamentals of the global economy, the world of e-business, ethics, human resource and strategic management and collaborative team skills. Throughout the program, theories and concepts of management and ethical leadership are enhanced by experiencing and testing them in skill-based exercises, case discussions and real-world, team-based project work.

The big data systems concentration under the MS degree program in computer science is designed for graduate students who want to pursue a thorough education in the area of big data systems. The program has a thesis and nonthesis project portfolio option.

The goal of this concentration is to provide students with the knowledge, skills and advanced research expertise in designing scalable systems (parallel, distributed and real-time) for acquiring, storing, processing and accessing large-scale heterogeneous multisource data and in using analytical tools to mine information from the data.

Graduates are able to choose and deploy the appropriate data management processing and analysis systems with a suitable structured or unstructured data model that a particular task and domain application needs.